Context determination for matrix-based intra prediction

ABSTRACT

Devices, systems and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes performing a first determination whether a luma video block of a video is coded using a matrix based intra prediction (MIP) mode; performing a second determination that the luma video block is applicable for determining a chroma intra mode for a current chroma video block of the video; performing, based on the first determination and the second determination, a third determination about the chroma intra mode to be used for the current chroma video block; and performing, based on the third determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No. 17/453,135, filed on Nov. 1, 2021, which is a continuation of International Patent Application No. PCT/CN2020/094513, filed on Jun. 5, 2020, which claims the priority to and benefits of International Patent Application No. PCT/CN2019/090205, filed on Jun. 5, 2019. All the aforementioned patent applications are hereby incorporated by reference in their entireties.

TECHNICAL FIELD

The present disclosure relates to video coding techniques, devices and systems.

BACKGROUND

In spite of the advances in video compression, digital video still accounts for the largest bandwidth use on the internet and other digital communication networks. As the number of connected user devices capable of receiving and displaying video increases, it is expected that the bandwidth demand for digital video usage will continue to grow.

SUMMARY

Devices, systems and methods related to digital video coding, and specifically, matrix-based intra prediction methods for video coding are described. The described methods may be applied to both the existing video coding standards (e.g., High Efficiency Video Coding (HEVC)) and future video coding standards (e.g., Versatile Video Coding (VVC)) or codecs.

In one representative aspect, the disclosed technology may be used to provide a method for video processing. The exemplary method includes performing a first determination whether a luma video block of a video is coded using a matrix based intra prediction (MIP) mode in which a prediction block of the luma video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; performing a second determination that the luma video block is applicable for determining a chroma intra mode for a current chroma video block of the video, wherein the performing the second determination is based on a top-left sample of the current chroma video block relative to a top-left luma sample of a current picture associated with the current chroma video block, and wherein the performing the second determination is based on dimensions of the current chroma video block relative to the luma video block and/or color format of a current video unit; performing, based on the first determination and the second determination, a third determination about the chroma intra mode to be used for the current chroma video block; and performing, based on the third determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. The exemplary method includes performing a first determination that a luma video block of a video is coded using a matrix based intra prediction (MIP) mode in which a prediction block of the luma video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; performing, based on the first determination, a second determination according to a rule about whether a derived mode (DM) is used as a chroma intra mode for a current chroma video block associated with the luma video block; and performing, based on the second determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. The exemplary method includes determining that a current video block of a video is coded with a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; generating, based on the determining, a most probable mode (MPM) list based on a rule, wherein the rule specifies the MPM list is generated independently of another MPM list generated for a neighboring video block of the current video block; and performing a conversion between the current video block and a bitstream representation of the current video block using the MPM list.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. The exemplary method includes encoding a current video block of a video using a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, wherein a rule describes a relationship between a number of matrices used in the MIP mode and dimensions of the current video block; and adding an encoded representation of the current video block to a bitstream representation of the current video block.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. The exemplary method includes determining that a current video block of a video is encoded in a bitstream representation using a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, wherein a rule describes a relationship between a number of matrices used in the MIP mode and dimensions of the current video block; and generating a decoded representation of the current video block by parsing and decoding the bitstream representation.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, constructing, based on the determining, at least a portion of a most probable mode (MPM) list for the ALWIP mode based on an at least a portion of an MPM list for a non-ALWIP intra mode, and performing, based on the MPM list for the ALWIP mode, a conversion between the current video block and a bitstream representation of the current video block.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes determining that a luma component of a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, inferring, based on the determining, a chroma intra mode, and performing, based on the chroma intra mode, a conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, and performing, based on the determining, a conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes determining that a current video block is coded using a coding mode different from an affine linear weighted intra prediction (ALWIP) mode, and performing, based on the determining, a conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes generating, for a current video block, a first prediction using an affine linear weighted intra prediction (ALWIP) mode, generating, based on the first prediction, a second prediction using position dependent intra prediction combination (PDPC), and performing, based on the second prediction, a conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, the disclosed technology may be used to provide a method for video processing. This exemplary method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, predicting, based on the ALWIP mode, a plurality of sub-blocks of the current video block, and performing, based on the predicting, a conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, a method of video processing is disclosed. The method includes determining, based on a rule for a current video block, a context of a flag indicative of use of affine linear weighted intra prediction (ALWIP) mode during a conversion between the current video block and a bitstream representation of the current video block, predicting, based on the ALWIP mode, a plurality of sub-blocks of the current video block and performing, based on the predicting, the conversion between the current video block and a bitstream representation of the current video block.

In yet another representative aspect, a method of video processing is disclosed. The method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, and performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein a first precision of the samples in a first filtering stage of the at least two filtering stages is different from a second precision of the samples in a second filtering stage of the at least two filtering stages.

In yet another aspect, a method of video processing is disclosed. The method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein the upsampling process is performed in a fixed order for a case in which both vertical and horizontal upsampling is performed.

In yet another aspect, a method of video processing is disclosed. The method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein the conversion includes performing a transposing operation prior to the upsampling process.

In yet another representative aspect, the above-described method is embodied in the form of processor-executable code and stored in a computer-readable program medium.

In yet another representative aspect, a device that is configured or operable to perform the above-described method is disclosed. The device may include a processor that is programmed to implement this method.

In yet another representative aspect, a video decoder apparatus may implement a method as described herein.

The above and other aspects and features of the disclosed technology are described in greater detail in the drawings, the description and the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an example of 33 intra prediction directions.

FIG. 2 shows an example of 67 intra prediction modes.

FIG. 3 shows an example of locations of samples used for the derivation of the weights of the linear model.

FIG. 4 shows an example of four reference lines neighboring a prediction block.

FIG. 5A and FIG. 5B show examples of sub-partitions depending on block size.

FIG. 6 shows an example of ALWIP for 4×4 blocks.

FIG. 7 shows an example of ALWIP for 8×8 blocks.

FIG. 8 shows an example of ALWIP for 8×4 blocks.

FIG. 9 shows an example of ALWIP for 16×16 blocks.

FIG. 10 shows an example of neighboring blocks using in MPM list construction.

FIG. 11 shows a flowchart of an example method for matrix-based intra prediction, in accordance with the disclosed technology.

FIG. 12 shows a flowchart of another example method for matrix-based intra prediction, in accordance with the disclosed technology.

FIG. 13 shows a flowchart of yet another example method for matrix-based intra prediction, in accordance with the disclosed technology.

FIG. 14 shows a flowchart of yet another example method for matrix-based intra prediction, in accordance with the disclosed technology.

FIG. 15 is a block diagram of an example of a hardware platform for implementing a visual media decoding or a visual media encoding technique described in the present disclosure.

FIG. 16 shows an example of neighboring blocks.

FIG. 17 is an example of the proposed reduced boundary samples generation.

FIG. 18 shows an example of the proposed up-sampling with the original reconstructed neighbor samples.

FIG. 19 is a block diagram illustrating an example of video decoder.

FIG. 20 is a block diagram showing an example video processing system in which various techniques disclosed herein may be implemented.

FIG. 21 is a block diagram that illustrates an example video coding system that may utilize the techniques of this disclosure.

FIG. 22 is a block diagram illustrating an example of video encoder.

FIGS. 23-27 show flowcharts of additional example methods for matrix-based intra prediction, in accordance with the disclosed technology.

DETAILED DESCRIPTION

Due to the increasing demand of higher resolution video, video coding methods and techniques are ubiquitous in modern technology. Video codecs typically include an electronic circuit or software that compresses or decompresses digital video, and are continually being improved to provide higher coding efficiency. A video codec converts uncompressed video to a compressed format or vice versa. There are complex relationships between the video quality, the amount of data used to represent the video (determined by the bit rate), the complexity of the encoding and decoding algorithms, sensitivity to data losses and errors, ease of editing, random access, and end-to-end delay (latency). The compressed format usually conforms to a standard video compression specification, e.g., the High Efficiency Video Coding (HEVC) standard (also known as H.265 or MPEG-H Part 2), the Versatile Video Coding (VVC) standard to be finalized, or other current and/or future video coding standards.

Embodiments of the disclosed technology may be applied to existing video coding standards (e.g., HEVC, H.265) and future standards to improve runtime performance. Section headings are used in the present disclosure to improve readability of the description and do not in any way limit the discussion or the embodiments (and/or implementations) to the respective sections only.

1 A Brief Review on HEVC 1.1 Intra Prediction in HEVC/H.265

Intra prediction involves producing samples for a given transform block (TB) using samples previously reconstructed in the considered color channel. The intra prediction mode is separately signaled for the luma and chroma channels, with the chroma channel intra prediction mode optionally dependent on the luma channel intra prediction mode via the ‘DM_CHROMA’ mode. Although the intra prediction mode is signaled at the prediction block (PB) level, the intra prediction process is applied at the TB level, in accordance with the residual quad-tree hierarchy for the coding unit (CU), thereby allowing the coding of one TB to have an effect on the coding of the next TB within the CU, and therefore reducing the distance to the samples used as reference values.

HEVC includes 35 intra prediction modes—a direct current (DC) mode, a planar mode and 33 directional, or ‘angular’ intra prediction modes. The 33 angular intra prediction modes are illustrated in FIG. 1 .

For PBs associated with chroma color channels, the intra prediction mode is specified as either planar, DC, horizontal, vertical, ‘DM_CHROMA’ mode or sometimes diagonal mode ‘34’.

Note for chroma formats 4:2:2 and 4:2:0, the chroma PB may overlap two or four (respectively) luma PBs; in this case the luma direction for DM_CHROMA is taken from the top left of these luma PBs.

The DM_CHROMA mode indicates that the intra prediction mode of the luma color channel PB is applied to the chroma color channel PBs. Since this is relatively common, the most-probable-mode coding scheme of the intra_chroma_pred_mode is biased in favor of this mode being selected.

2 Examples of Intra Prediction in VVC

2.1 Intra Mode Coding with 67 Intra Prediction Modes

To capture the arbitrary edge directions presented in natural video, the number of directional intra modes is extended from 33, as used in HEVC, to 65. The additional directional modes are depicted as red dotted arrows in FIG. 2 , and the planar and DC modes remain the same. These denser directional intra prediction modes apply for all block sizes and for both luma and chroma intra predictions.

2.2 Examples of the Cross-Component Linear Model (CCLM)

In some embodiments, and to reduce the cross-component redundancy, a cross-component linear model (CCLM) prediction mode (also referred to as LM), is used in the JEM, for which the chroma samples are predicted based on the reconstructed luma samples of the same CU by using a linear model as follows:

pred_(C)(i,j)=α·rec _(L)′(i,j)+β  (1)

Here, pred_(C)(i,j) represents the predicted chroma samples in a CU and rec_(L)′(i,j) represents the downsampled reconstructed luma samples of the same CU. Linear model parameter α and β are derived from the relation between luma values and chroma values from two samples, which are luma sample with minimum sample value and with maximum sample inside the set of downsampled neighboring luma samples, and their corresponding chroma samples. FIG. 3 shows an example of the location of the left and above samples and the sample of the current block involved in the CCLM mode.

This parameter computation is performed as part of the decoding process, and is not just as an encoder search operation. As a result, no syntax is used to convey the α and β values to the decoder.

For chroma intra mode coding, a total of 8 intra modes are allowed for chroma intra mode coding. Those modes include five traditional intra modes and three cross-component linear model modes (CCLM, LM_A, and LM_L). Chroma mode coding directly depends on the intra prediction mode of the corresponding luma block. Since separate block partitioning structure for luma and chroma components is enabled in I slices, one chroma block may correspond to multiple luma blocks. Therefore, for Chroma DM mode, the intra prediction mode of the corresponding luma block covering the center position of the current chroma block is directly inherited.

2.3 Multiple Reference Line (MRL) Intra Prediction

Multiple reference line (MRL) intra prediction uses more reference lines for intra prediction. In FIG. 4 , an example of 4 reference lines is depicted, where the samples of segments A and F are not fetched from reconstructed neighboring samples but padded with the closest samples from Segment B and E, respectively. HEVC intra-picture prediction uses the nearest reference line (i.e., reference line 0). In MRL, 2 additional lines (reference line 1 and reference line 3) are used. The index of selected reference line (mrl_idx) is signalled and used to generate intra predictor. For reference line idx, which is greater than 0, only include additional reference line modes in MPM list and only signal mpm index without remaining mode.

2.4 Intra Sub-Partitions (ISP)

The Intra Sub-Partitions (ISP) tool divides luma intra-predicted blocks vertically or horizontally into 2 or 4 sub-partitions depending on the block size. For example, minimum block size for ISP is 4×8 (or 8×4). If block size is greater than 4×8 (or 8×4) then the corresponding block is divided by 4 sub-partitions. FIG. 5 shows examples of the two possibilities. All sub-partitions fulfill the condition of having at least 16 samples.

For each sub-partition, reconstructed samples are obtained by adding the residual signal to the prediction signal. Here, a residual signal is generated by the processes such as entropy decoding, inverse quantization and inverse transform. Therefore, the reconstructed sample values of each sub-partition are available to generate the prediction of the next sub-partition, and each sub-partition is processed repeatedly. In addition, the first sub-partition to be processed is the one containing the top-left sample of the CU and then continuing downwards (horizontal split) or rightwards (vertical split). As a result, reference samples used to generate the sub-partitions prediction signals are only located at the left and above sides of the lines. All sub-partitions share the same intra mode.

2.5 Affine Linear Weighted Intra Prediction (ALWIP or Matrix-Based Intra Prediction)

Affine linear weighted intra prediction (ALWIP, a.k.a., Matrix based intra prediction (MIP)) is proposed in JVET-N0217.

In JVET-N0217, two tests are conducted. In test 1, ALWIP is designed with a memory restriction of 8K bytes and at most 4 multiplications per sample. Test 2 is similar to test 1, but further simplifies the design in terms of memory requirement and model architecture.

Single set of matrices and offset vectors for all block shapes.

Reduction of number of modes to 19 for all block shapes.

Reduction of memory requirement to 5760 10-bit values, that is 7.20 Kilobyte.

Linear interpolation of predicted samples is carried out in a single step per direction replacing iterative interpolation as in the first test.

2.5.1 Test 1 of JVET-N0217

For predicting the samples of a rectangular block of width W and height H, affine linear weighted intra prediction (ALWIP) takes one line of H reconstructed neighboring boundary samples left of the block and one line of W reconstructed neighboring boundary samples above the block as input. If the reconstructed samples are unavailable, they are generated as it is done in the conventional intra prediction.

The generation of the prediction signal is based on the following three steps:

Out of the boundary samples, four samples in the case of W=H=4 and eight samples in all other cases are extracted by averaging.

A matrix vector multiplication, followed by addition of an offset, is carried out with the averaged samples as an input. The result is a reduced prediction signal on a subsampled set of samples in the original block.

The prediction signal at the remaining positions is generated from the prediction signal on the subsampled set by linear interpolation which is a single step linear interpolation in each direction.

The matrices and offset vectors needed to generate the prediction signal are taken from three sets S₀, S₁, S₂ of matrices. The set S₀ consists of 18 matrices A₀ ^(i), i∈{0, . . . , 17} each of which has 16 rows and 4 columns and 18 offset vectors b₀ ^(i), i∈{0, . . . , 17} each of size 16. Matrices and offset vectors of that set are used for blocks of size 4×4. The set S₁ consists of 10 matrices A₁ ^(i), i∈{0, . . . , 9}, each of which has 16 rows and 8 columns and 10 offset vectors b₁ ^(i), i∈{0, . . . , 9} each of size 16. Matrices and offset vectors of that set are used for blocks of sizes 4×8, 8×4 and 8×8. Finally, the set S₂ consists of 6 matrices A₂ ^(i), i∈{0, . . . , 5}, each of which has 64 rows and 8 columns and of 6 offset vectors b₂ ^(i), i∈{0, . . . , 5} of size 64. Matrices and offset vectors of that set or parts of these matrices and offset vectors are used for all other block-shapes.

The total number of multiplications needed in the computation of the matrix vector product is always smaller than or equal to 4×W×H. In other words, at most four multiplications per sample are required for the ALWIP modes.

2.5.2 Averaging of the Boundary

In a first step, the input boundaries bdry^(top) p and bdry^(left) are reduced to smaller boundaries bdry_(red) ^(top) and bdry_(red) ^(left). Here, bdry_(red) ^(top) and bdry_(red) ^(left) both consists of 2 samples in the case of a 4×4-block and both consist of 4 samples in all other cases.

In the case of a 4×4-block, for 0≤i<2, one defines

${bdr{y_{red}^{top}\lbrack i\rbrack}} = {\left( {\left( {\underset{j = 0}{\overset{1}{\sum}}{bdr{y^{top}\left\lbrack {{i \cdot 2} + j} \right\rbrack}}} \right) + 1} \right) \gg 1}$

and defines bdry_(red) ^(left) analogously.

Otherwise, if the block-width W is given as W=4·2^(k), for 0≤i<4, one defines

${bdr{y_{red}^{top}\lbrack i\rbrack}} = {\left( {\left( {\sum\limits_{j = 0}^{2^{k} - 1}{bdr{y^{top}\left\lbrack {{i \cdot 2^{k}} + j} \right\rbrack}}} \right) + \left( {1 \ll \left( {k - 1} \right)} \right)} \right) \gg k}$

and defines bdry_(red) ^(left) analogously.

The two reduced boundaries bdry_(red) ^(top) and bdry_(red) ^(left) are concatenated to a reduced boundary vector bdry_(red) which is thus of size four for blocks of shape 4×4 and of size eight for blocks of all other shapes. If mode refers to the ALWIP-mode, this concatenation is defined as follows:

${bdry_{red}} = \left\{ {\begin{matrix} \left\lbrack {{bdry_{red}^{top}},\ {bdry_{red}^{left}}} \right\rbrack & {{{for}\ W} = {H = {{4\ {and}{mode}} < 18}}} \\ \left\lbrack {{bdry_{red}^{left}},\ {bdry_{red}^{top}}} \right\rbrack & {{{for}\ W} = {H = {{4\ {and}{mode}} \geq 18}}} \\ \left\lbrack {{bdry_{red}^{top}},\ {bdry_{red}^{left}}} \right\rbrack & {{{for}{\max\left( {W,H} \right)}} = {{8\ {and}{mode}} < 10}} \\ \left\lbrack {{bdry_{red}^{left}},\ {bdry_{red}^{top}}} \right\rbrack & {{{for}{\max\left( {W,H} \right)}} = {{8\ {and}{mode}} \geq 10}} \\ \left\lbrack {{bdry_{red}^{top}},\ {bdry_{red}^{left}}} \right\rbrack & {{{for}{\max\left( {W,H} \right)}} > {8\ {and}{mode}} < 6} \\ \left\lbrack {{bdry_{red}^{left}},\ {bdry_{red}^{top}}} \right\rbrack & {{{for}{\max\left( {W,H} \right)}} > {8\ {and}{mode}} \geq 6} \end{matrix}.} \right.$

Finally, for the interpolation of the subsampled prediction signal, on large blocks a second version of the averaged boundary is needed. Namely, if min(W, H)>8 and W≥H, one writes W=8*2^(l), and, for 0≤i<8, defines

${bdr{y_{redII}^{top}\lbrack i\rbrack}} = {\left( {\left( {\sum\limits_{j = 0}^{2^{l} - 1}{bdr{y^{top}\left\lbrack {{i \cdot 2^{l}} + j} \right\rbrack}}} \right) + \left( {1 \ll \left( {l - 1} \right)} \right)} \right) \gg {l.}}$

If min(W, H)>8 and H>W, one defines bdry_(redII) ^(left) analogously.

2.5.3 Generation of the Reduced Prediction Signal by Matrix Vector Multiplication

Out of the reduced input vector bdry_(red) one generates a reduced prediction signal pred_(red). The latter signal is a signal on the downsampled block of width W_(red) and height H_(red). Here, W_(red) and H_(red) are defined as:

$W_{red} = \left\{ \begin{matrix} 4 & {{{for}\max\left( {W,H} \right)} \leq 8} \\ {\min\left( {W,8} \right)} & {{{for}\max\left( {W,H} \right)} > 8} \end{matrix} \right.$ $H_{red} = \left\{ \begin{matrix} 4 & {{{for}\max\left( {W,H} \right)} \leq 8} \\ {\min\left( {H,8} \right)} & {{{for}\max\left( {W,H} \right)} > 8} \end{matrix} \right.$

The reduced prediction signal pred_(red) is computed by calculating a matrix vector product and adding an offset:

pred_(red) =A·bdry_(red) +b

Here, A is a matrix that has W_(red)·H_(red) rows and 4 columns if W=H=4 and 8 columns in all other cases. b is a vector of size W_(red)·H_(red).

The matrix A and the vector b are taken from one of the sets S₀, S₁, S₂ as follows. One defines an index idx=idx(W, H) as follows:

${{idx}\left( {W,H} \right)} = \left\{ {\begin{matrix} 0 & {{{for}W} = {H = 4}} \\ 1 & {{{for}\max\left( {W,H} \right)} = 8} \\ 2 & {{{for}{\max\left( {W,H} \right)}} > 8} \end{matrix}.} \right.$

Moreover, one puts m as follows:

$m = \left\{ {\begin{matrix} {mode} & {{{for}\ W} = {H = {{4\ {and}{mode}} < 18}}} \\ {{mode} - 17} & {{{for}\ W} = {H = {{4\ {and}{mode}} \geq 18}}} \\ {mode} & {{{for}{\max\left( {W,\ H} \right)}} = {{8\ {and}{mode}} < 10}} \\ {{mode} - 9} & {{{for}{\max\left( {W,\ H} \right)}} = {{8\ {and}{mode}} \geq 10}} \\ {mode} & {{{for}{\max\left( {W,\ H} \right)}} > {8\ {and}{mode}} < 6} \\ {{mode} - 5} & {{{for}{\max\left( {W,\ H} \right)}} > {8\ {and}{mode}} \geq 6} \end{matrix}.} \right.$

Then, if idx≤1 or idx=2 and min(W, H)>4, one puts A=A_(idx) ^(m) and b=b_(idx) ^(m). In the case that idx=2 and min(W, H)=4, one lets A be the matrix that arises by leaving out every row of A_(idx) ^(m) that, in the case W=4, corresponds to an odd x-coordinate in the downsampled block, or, in the case H=4, corresponds to an odd y-coordinate in the downsampled block.

Finally, the reduced prediction signal is replaced by its transpose in the following cases:

W=H=4 and mode≥18

max(W,H)=8 and mode≥10

max(W,H)>8 and mode≥6

The number of multiplications required for calculation of pred_(red) is 4 in the case of W=H=4 since in this case A has 4 columns and 16 rows. In all other cases, A has 8 columns and W_(red)·H_(red) rows and one immediately verifies that in these cases 8·W_(red)·H_(red)≤4·W·H multiplications are required, i.e. also in these cases, at most 4 multiplications per sample are needed to compute pred_(red).

2.5.4 Illustration of the Entire ALWIP Process

The entire process of averaging, matrix vector multiplication and linear interpolation is illustrated for different shapes in FIGS. 6-9 . Note, that the remaining shapes are treated as in one of the depicted cases.

1. Given a 4×4 block, ALWIP takes two averages along each axis of the boundary. The resulting four input samples enter the matrix vector multiplication. The matrices are taken from the set S₀. After adding an offset, this yields the 16 final prediction samples. Linear interpolation is not necessary for generating the prediction signal. Thus, a total of (4·16)/(4·4)=4 multiplications per sample are performed.

2. Given an 8×8 block, ALWIP takes four averages along each axis of the boundary. The resulting eight input samples enter the matrix vector multiplication. The matrices are taken from the set S₁. This yields 16 samples on the odd positions of the prediction block. Thus, a total of (8·16)/(8·8)=2 multiplications per sample are performed. After adding an offset, these samples are interpolated vertically by using the reduced top boundary. Horizontal interpolation follows by using the original left boundary.

3. Given an 8×4 block, ALWIP takes four averages along the horizontal axis of the boundary and the four original boundary values on the left boundary. The resulting eight input samples enter the matrix vector multiplication. The matrices are taken from the set S₁. This yields 16 samples on the odd horizontal and each vertical positions of the prediction block. Thus, a total of (8·16)/(8·4)=4 multiplications per sample are performed. After adding an offset, these samples are interpolated horizontally by using the original left boundary.

4. Given a 16×16 block, ALWIP takes four averages along each axis of the boundary. The resulting eight input samples enter the matrix vector multiplication. The matrices are taken from the set S₂. This yields 64 samples on the odd positions of the prediction block. Thus, a total of (8·64)/(16·16)=2 multiplications per sample are performed. After adding an offset, these samples are interpolated vertically by using eight averages of the top boundary. Horizontal interpolation follows by using the original left boundary. The interpolation process, in this case, does not add any multiplications. Therefore, totally, two multiplications per sample are required to calculate ALWIP prediction.

For larger shapes, the procedure is essentially the same and it is easy to check that the number of multiplications per sample is less than four.

For W×8 blocks with W>8, only horizontal interpolation is necessary as the samples are given at the odd horizontal and each vertical positions.

Finally for W×4 blocks with W>8, let A_kbe the matrix that arises by leaving out every row that corresponds to an odd entry along the horizontal axis of the downsampled block. Thus, the output size is 32 and again, only horizontal interpolation remains to be performed.

The transposed cases are treated accordingly.

2.5.5 Single Step Linear Interpolation

For a W×H block with max(W, H)>8, the prediction signal arises from the reduced prediction signal pred_(red) on W_(red)×H_(red) by linear interpolation. Depending on the block shape, linear interpolation is done in vertical, horizontal or both directions. If linear interpolation is to be applied in both directions, it is first applied in horizontal direction if W<H and it is first applied in vertical direction, else.

Consider without loss of generality a W×H block with max(W, H)≥8 and W≥H. Then, the one-dimensional linear interpolation is performed as follows. Without loss of generality, it suffices to describe linear interpolation in vertical direction. First, the reduced prediction signal is extended to the top by the boundary signal. Define the vertical upsampling factor U_(ver)=H/H_(red) and write U_(ver)=2^(u) ^(ver) >1. Then, define the extended reduced prediction signal by

${pre{{d_{red}\lbrack x\rbrack}\left\lbrack {- 1} \right\rbrack}} = \left\{ {\begin{matrix} {bdr{y_{red}^{top}\lbrack x\rbrack}} & {{{for}\ W} = 8} \\ {bdr{y_{redII}^{top}\lbrack x\rbrack}} & {{{for}\ W} > 8} \end{matrix}.} \right.$

Then, from this extended reduced prediction signal, the vertically linear interpolated prediction signal is generated by

$\left. {\left. {{{pre}{{d_{red}^{{ups},{ver}}\lbrack x\rbrack}\left\lbrack {{U_{ver} \cdot y} + k} \right\rbrack}} = \left( {{\left( {U_{ver} - k - 1} \right) \cdot {{pred}_{red}\lbrack x\rbrack}}\left\lceil {y - 1} \right.} \right.} \right\rbrack + {\left( {k + 1} \right) \cdot {{{pred}_{red}\lbrack x\rbrack}\lbrack y\rbrack}} + \frac{U_{ver}}{2}} \right) \gg u_{ver}$ for0 ≤ x < W_(red), 0 ≤ y < H_(red)and0 ≤ k < U_(ver).

2.5.6 Signalization of the Proposed Intra Prediction Modes

For each Coding Unit (CU) in intra mode, a flag indicating if an ALWIP mode is to be applied on the corresponding Prediction Unit (PU) or not is sent in the bitstream. The signalization of the latter index is harmonized with MRL in the same way as in JVET-M0043. If an ALWIP mode is to be applied, the index predmode of the ALWIP mode is signaled using a MPM-list with 3 MPMS.

Here, the derivation of the MPMs is performed using the intra-modes of the above and the left PU as follows. There are three fixed tables map_angular_to_alwip_(idx), idx∈{0,1,2} that assign to each conventional intra prediction mode predmode_(Angular) an ALWIP mode

predmode_(ALWIP)=map_angular_to_alwip_(idx)[predmode_(Angular)].

For each PU of width W and height H one defines an index

idx(PU)=idx(W,H)∈{0,1,2}

that indicates from which of the three sets the ALWIP-parameters are to be taken as in Section 2.5.3.

If the above Prediction Unit PU above is available, belongs to the same CTU as the current PU and is in intra mode, if idx(PU)=idx(PU_(above)) and if ALWIP is applied on PU_(above) with ALWIP-mode predmode_(ALWIP) ^(above), one puts

mode_(ALWIP) ^(above)=predmode_(ALWIP) ^(above).

If the above PU is available, belongs to the same coding tree unit (CTU) as the current PU and is in intra mode and if a conventional intra prediction mode predmode_(Angular) ^(above) is applied on the above PU, one puts

mode_(ALWIP) ^(above)=map_angular_to_alwip_(idx(PU) _(above) ₎[predmode_(Angular) ^(above)].

In all other cases, one puts

mode_(ALWIP) ^(above)=−1,

which means that this mode is unavailable. In the same way but without the restriction that the left PU needs to belong to the same CTU as the current PU, one derives a mode mode_(ALWIP) ^(left).

Finally, three fixed default lists list_(idx), idx∈{0,1,2} are provided, each of which contains three distinct ALWIP modes. Out of the default list list_(idx(PU)) and the modes mode_(ALWIP) ^(above) and mode_(ALWIP) ^(left), one constructs three distinct MPMs by substituting −1 by default values as well as eliminating repetitions.

The left neighboring block and above neighboring block used in the ALWIP MPM list construction is A1 and B1 as shown in FIG. 10 .

2.5.7 Adapted MPM-List Derivation for Conventional Luma and Chroma Intra-Prediction Modes

The proposed ALWIP-modes are harmonized with the MPM-based coding of the conventional intra-prediction modes as follows. The luma and chroma MPM-list derivation processes for the conventional intra-prediction modes uses fixed tables map_alwip_to_angular_(idx), idx∈{0,1,2}, mapping an ALWIP-mode predmode_(ALWIP) on a given PU to one of the conventional intra-prediction modes

predmode_(Angular)=map_alwip_to_angular_(idx(PU))[predmode_(ALWIP)]

For the luma MPM-list derivation, whenever a neighboring luma block is encountered which uses an ALWIP-mode predmode_(ALWIP), this block is treated as if it was using the conventional intra-prediction mode predmode_(Angular). For the chroma MPM-list derivation, whenever the current luma block uses an LWIP-mode, the same mapping is used to translate the ALWIP-mode to a conventional intra prediction mode.

2.5.8 Corresponding Modified Working Draft

In some embodiments, as described in this section, portions related to intra_lwip_flag, intra_lwip_mpm_flag, intra_lwip_mpm_idx and intra_lwip_mpm_remainder have been added to the working draft based on embodiments of the disclosed technology.

In some embodiments, as described in this section, the <begin> and <end> tags are used to denote additions and modifications to the working draft based on embodiments of the disclosed technology.

Syntax Tables Coding Unit Syntax

Descriptor coding_unit( x0, y0, cbWidth, cbHeight, treeType ) {  if( tile_group_type != I ∥ sps_ibc_enabled_flag ) {   if( treeType != DUAL_TREE_CHROMA )    cu_skip_flag[ x0 ][ y0 ] ae(v)   if( cu_skip_flag[ x0 ][ y0 ] = = 0 && tile_group_type != I )    pred_mode_flag ae(v)   if( ( ( tile_group_type = = I && cu_skip_flag[ x0 ][ y0 ] = =0 ) ∥    ( tile_group_type != I && CuPredMode[ x0 ][ y0 ] != MODE_INTRA ) ) &&    sps_ibc_enabled_flag )    pred_mode_ibc_flag ae(v)  }  if( CuPredMode[ x0 ][ y0 ] = = MODE_INTRA ) {   if( sps_pcm_enabled_flag &&    cbWidth >= MinIpcmCbSizeY && cbWidth <= MaxIpcmCbSizeY &&    cbHeight >= MinIpcmCbSizeY && cbHeight <= MaxIpcmCbSizeY )    pcm_flag[ x0 ][ y0 ] ae(v)   if( pcm_flag[ x0 ][ y0 ] ) {    while( !byte_aligned( ) )     pcm_alignment_zero_bit f(1)    pcm_sample( cbWidth, cbHeight, treeType)   } else {    if( treeType = = SINGLE_TREE ∥ treeType = = DUAL_TREE_LUMA ) {     if( Abs( Log2( cbWidth ) − Log2( cbHeight ) ) <= 2 )      intra_lwip_flag[ x0 ][ y0 ] ae(v)     if( intra_lwip_flag[ x0 ][ y0 ] ) {       intra_lwip_mpm_flag[ x0 ][ y0 ] ae(v)      if( intra_lwip_mpm_flag[ x0 ][ y0 ] )       intra_lwip_mpm_idx[ x0 ][ y0 ] ae(v)      else       intra_lwip_mpm_remainder[ x0 ][ y0 ] ae(v)     } else {      if( ( y0 % CtbSizeY ) > 0 )       intra_luma_ref_idx[ x0 ][ y0 ] ae(v)      if (intra_luma_ref_idx[ x0 ][ y0 ] = = 0 &&       ( cbWidth <= MaxTbSizeY ∥ cbHeight <= MaxTbSizeY ) &&       ( cbWidth * cbHeight > MinTbSizeY * MinTbSizeY ))       intra_subpartitions_mode_flag[ x0 ][ y0 ] ae(v)      if( intra_subpartitions_mode_flag[ x0 ][ y0 ] = = 1 &&       cbWidth <= MaxTbSizeY && cbHeight <= MaxTbSizeY )       intra_subpartitions_split_flag[ x0 ][ y0 ] ae(v)      if( intra_luma_ref_idx[ x0 ][ y0 ] = = 0 &&       intra_subpartitions_mode_flag[ x0 ][ y0 ] = = 0 )       intra_luma_mpm_flag[ x0 ][ y0 ] ae(v)      if( intra_luma_mpm_flag[ x0 ][ y0 ] )       intra_luma_mpm_idx[ x0 ][ y0 ] ae(v)      else       intra_luma_mpm_remainder[ x0 ][ y0 ] ae(v)     }    }    if( treeType = = SINGLE_TREE ∥ treeType = = DUAL_TREE_CHROMA )     intra_chroma_pred_mode[ x0 ][ y0 ] ae(v)   }  } else if( treeType != DUAL_TREE_CHROMA ) { /* MODE_INTER or MODE_IBC */   ...

Semantics

<begin>intra_lwip_flag[x0][y0] equal to 1 specifies that the intra prediction type for luma samples is affine linear weighted intra prediction. intra_lwip_flag[x0][y0] equal to 0 specifies that the intra prediction type for luma samples is not affine linear weighted intra prediction. When intra_lwip_flag[x0][y0] is not present, it is inferred to be equal to 0. The syntax elements intra_lwip_mpm_flag[x0][y0], intra_lwip_mpm_idx[x0][y0] and intra_lwip_mpm_remainder [x0][y0] specify the affine linear weighted intra prediction mode for luma samples. The array indices x0, y0 specify the location (x0, y0) of the top-left luma sample of the considered coding block relative to the top-left luma sample of the picture. When intra_lwip_mpm_flag[x0][y0] is equal to 1, the affine linear weighted intra prediction mode is inferred from a neighboring intra-predicted coding unit according to clause 8.4.X. When intra_lwip_mpm_flag[x0][y0] is not present, it is inferred to be equal to 1.<end> intra_subpartitions_split_flag[x0][y0] specifies whether the intra subpartitions split type is horizontal or vertical. When intra_subpartitions_split_flag[x0][y0] is not present, it is inferred as follows:

-   -   If intra_lwip_flag[x0][y0] is equal to 1,         intra_subpartitions_split_flag[x0][y0] is inferred to be equal         to 0.     -   Otherwise, the following applies:         -   If cbHeight is greater than MaxTbSizeY,             intra_subpartitions_split_flag[x0][y0] is inferred to be             equal to 0.         -   Otherwise (cbWidth is greater than MaxTbSizeY),             intra_subpartitions_split_flag[x0][y0] is inferred to be             equal to 1.

Decoding Process 8.4.1 General Decoding Process for Coding Units Coded in Intra Prediction Mode

Inputs to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current coding block relative to the top-left luma sample of the         current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples,     -   a variable treeType specifying whether a single or a dual tree         is used and if a dual tree is used, it specifies whether the         current tree corresponds to the luma or chroma components.         Output of this process is a modified reconstructed picture         before in-loop filtering.         The derivation process for quantization parameters as specified         in clause 8.7.1 is invoked with the luma location (xCb, yCb),         the width of the current coding block in luma samples cbWidth         and the height of the current coding block in luma samples         cbHeight, and the variable treeType as inputs.         When treeType is equal to SINGLE_TREE or treeType is equal to         DUAL_TREE_LUMA, the decoding process for luma samples is         specified as follows:     -   If pcm_flag[xCb][yCb] is equal to 1, the reconstructed picture         is modified as follows:

S _(L) [xCb+i][yCb+j]=pcm_sample_luma[(cbHeight*j)+i]<<(BitDepth_(Y)−PcmBitDepth_(Y)),  (8-6)

-   -   -   with i=0..cbWidth−1, j=0..cbHeight−1

    -   Otherwise, the following applies:         -   1. The luma intra prediction mode is derived as follows:             -   If intra_lwip_flag[xCb][yCb] is equal to 1, the                 derivation process for the affine linear weighted intra                 prediction mode as specified in clause 8.4.X is invoked                 with the luma location (xCb, yCb), the width of the                 current coding block in luma samples cbWidth and the                 height of the current coding block in luma samples                 cbHeight as input.             -   Otherwise, the derivation process for the luma intra                 prediction mode as specified in clause 8.4.2 is invoked                 with the luma location (xCb, yCb), the width of the                 current coding block in luma samples cbWidth and the                 height of the current coding block in luma samples                 cbHeight as input.         -   2. The general decoding process for intra blocks as             specified in clause 8.4.4.1 is invoked with the luma             location (xCb, yCb), the tree type treeType, the variable             nTbW set equal to cbWidth, the variable nTbH set equal to             cbHeight, the variable predModeIntra set equal to             IntraPredModeY[xCb][yCb], and the variable cIdx set equal to             0 as inputs, and the output is a modified reconstructed             picture before in-loop filtering.             <begin>

8.4.X Derivation Process for Affine Linear Weighted Intra Prediction Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current luma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         In this process, the affine linear weighted intra prediction         mode IntraPredModeY[xCb][yCb] is derived.         IntraPredModeY[xCb][yCb] is derived by the following ordered         steps:     -   1. The neighboring locations (xNbA, yNbA) and (xNbB, yNbB) are         set equal to (xCb−1, yCb) and (xCb, yCb−1), respectively.     -   2. For X being replaced by either A or B, the variables         candLwipModeX are derived as follows:         -   The availability derivation process for a block as specified             in clause 6.4.X [Ed. (BB): Neighboring blocks availability             checking process tbd] is invoked with the location (xCurr,             yCurr) set equal to (xCb, yCb) and the neighboring location             (xNbY, yNbY) set equal to (xNbX, yNbX) as inputs, and the             output is assigned to availableX.         -   The candidate affine linear weighted intra prediction mode             candLwipModeX is derived as follows:             -   If one or more of the following conditions are true,                 candLwipModeX is set equal to −1.                 -   The variable availableX is equal to FALSE.                 -   CuPredMode[xNbX][yNbX] is not equal to MODE_INTRA                     and mh_intra_flag[xNbX][yNbX] is not equal to 1.                 -   pcm_flag[xNbX][yNbX] is equal to 1.                 -   X is equal to B and yCb−1 is less than ((yCb>>CtbLog                     2SizeY)<<CtbLog 2SizeY).             -   Otherwise, the following applies:                 -   The size type derivation process fora block as                     specified in clause 8.4.X.1 is invoked with the                     width of the current coding block in luma samples                     cbWidth and the height of the current coding block                     in luma samples cbHeight as input, and the output is                     assigned to variable sizeId.                 -   If intra_lwip_flag[xNbX][yNbX] is equal to 1, the                     size type derivation process for a block as                     specified in clause 8.4.X.1 is invoked with the                     width of the neighboring coding block in luma                     samples nbWidthX and the height of the neighboring                     coding block in luma samples nbHeightX as input, and                     the output is assigned to variable sizeIdX.                 -    If sizeId is equal to sizeIdX, candLwipModeX is set                     equal to IntraPredModeY[xNbX][yNbX].                 -    Otherwise, candLwipModeX is set equal to −1.                 -   Otherwise, candLwipModeX is derived using                     IntraPredModeY[xNbX][yNbX] and sizeId as specified                     in Table 8-X1.     -   3. The candLwipModeList[x] with x=0..2 is derived as follows,         using lwipMpmCand[sizeId] as specified in Table 8-X2:         -   If candLwipModeA and candLwipModeB are both equal to −1, the             following applies:

candLwipModeList[0]=lwipMpmCand[sizeId][0]  (8-X1)

candLwipModeList[1]=lwipMpmCand[sizeId][1]  (8-X2)

candLwipModeList[2]=lwipMpmCand[sizeId][2]  (8-X3)

-   -   -   Otherwise, the following applies:             -   If candLwipModeA is equal to candLwipModeB or if either                 candLwipModeA or candLwipModeB is equal to −1, the                 following applies:

candLwipModeList[0]=(candLwipModeA!=−1)?candLwipModeA:candLwipModeB  (8-X4)

-   -   -   -   -   If candLwipModeList[0] is equal to                     lwipMpmCand[sizeId][0], the following applies:

candLwipModeList[1]=lwipMpmCand[sizeId][1]  (8-X5)

candLwipModeList[2]=lwipMpmCand[sizeId][2]  (8-X6)

-   -   -   -   -   Otherwise, the following applies:

candLwipModeList[1]=lwipMpmCand[sizeId][0]  (8-X7)

candLwipModeList[2]=(candLwipModeList[0]!=lwipMpmCand[sizeId][1])?

lwipMpmCand[sizeId][1]: lwipMpmCand[sizeId][2]  (8-X8)

-   -   -   -   Otherwise, the following applies:

candLwipModeList[0]=candLwipModeA  (8-X9)

candLwipModeList[1]=candLwipModeB  (8-X10)

-   -   -   -   -   If candLwipModeA and candLwipModeB are both not                     equal to lwipMpmCand[sizeId][0], the following                     applies:

candLwipModeList[2]=lwipMpmCand[sizeId][0]  (8-X11)

-   -   -   -   -   Otherwise, the following applies:                 -    If candLwipModeA and candLwipModeB are both not                     equal to lwipMpmCand[sizeId][1], the following                     applies:

candLwipModeList[2]=lwipMpmCand[sizeId][1]  (8-X12)

-   -   -   -   -   ′Otherwise, the following applies:

candLwipModeList[2]=lwipMpmCand[sizeId][2]  (8-X13)

-   -   4. IntraPredModeY[xCb][yCb] is derived by applying the following         procedure:         -   If intra_lwip_mpm_flag[xCb][yCb] is equal to 1, the             IntraPredModeY[xCb][yCb] is set equal to             candLwipModeList[intra_lwip_mpm_idx[xCb][yCb]].         -   Otherwise, IntraPredModeY[xCb][yCb] is derived by applying             the following ordered steps:             -   1. When candLwipModeList[i] is greater than                 candLwipModeList[j] for i=0..1 and for each i, j=(i+1) .                 . . 2, both values are swapped as follows:

(candLwipModeList[i],candLwipModeList[j]=Swap(candLwipModeList[i], candLwipModeList[j])  (8-X14)

-   -   -   -   2. IntraPredModeY[xCb][yCb] is derived by the following                 ordered steps:                 -   i. IntraPredModeY[xCb][yCb] is set equal to                     intra_lwip_mpm_remainder[xCb][yCb].                 -   ii. For i equal to 0 to 2, inclusive, when                     IntraPredModeY[xCb][yCb] is greater than or equal to                     candLwipModeList[i], the value of                     IntraPredModeY[xCb][yCb] is incremented by one.                     The variable IntraPredModeY[x][y] with x=xCb . . .                     xCb+cbWidth−1 and y=yCb . . . yCb+cbHeight−1 is set                     to be equal to IntraPredModeY[xCb][yCb].

8.4.X.1 Derivation Process for Prediction Block Size Type

Input to this process are:

-   -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         Output of this process is a variable sizeId.         The variable sizeId is derived as follows:     -   If both cbWidth and cbHeight are equal to 4, sizeId is set equal         to 0.     -   Otherwise, if both cbWidth and cbHeight are less than or equal         to 8, sizeId is set equal to 1.     -   Otherwise, sizeId is set equal to 2.

TABLE 8-X1 Specification of mapping between intra prediction and affine linear weighted intra prediction modes IntraPredModeY block size type sizeId [ xNbX ][ yNbX ] 0 1 2 0 17 0 5 1 17 0 1 2, 3 17 10 3 4, 5 9 10 3 6, 7 9 10 3 8, 9 9 10 3 10, 11 9 10 0 12, 13 17 4 0 14, 15 17 6 0 16, 17 17 7 4 18, 19 17 7 4 20, 21 17 7 4 22, 23 17 5 5 24, 25 17 5 1 26, 27 5 0 1 28, 29 5 0 1 30, 31 5 3 1 32, 33 5 3 1 34, 35 34 12 6 36, 37 22 12 6 38, 39 22 12 6 40, 41 22 12 6 42, 43 22 14 6 44, 45 34 14 10 46, 47 34 14 10 48, 49 34 16 9 50, 51 34 16 9 52, 53 34 16 9 54, 55 34 15 9 56, 57 34 13 9 58, 59 26 1 8 60, 61 26 1 8 62, 63 26 1 8 64, 65 26 1 8 66 26 1 8

TABLE 8-X2 Specification of affine linear weighted intra prediction candidate modes candidate mode 0 1 2 lwipMpmCand[ 0 ] 17 34 5 lwipMpmCand[ 1 ] 0 7 16 lwipMpmCand[ 2 ] 1 4 6 <end>

8.4.2. Derivation Process for Luma Intra Prediction Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current luma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         In this process, the luma intra prediction mode         IntraPredModeY[xCb][yCb] is derived.         Table 8-1 specifies the value for the intra prediction mode         IntraPredModeY[xCb][yCb] and the associated names.

TABLE 8-1 Specification of intra prediction mode and associated names Intra prediction mode Associated name 0 INTRA_PLANAR 1 INTRA_DC  2 . . . 66 INTRA_ANGULAR2 . . . INTRA_ANGULAR66 81 . . . 83 INTRA_LT_CCLM, INTRA_L_CCLM, INTRA_T_CCLM NOTE-: The intra prediction modes INTRA_LT_CCLM, INTRA_L_CCLM and INTRA_T_CCLM are only applicable to chroma components. IntraPredModeY[xCb][yCb] is derived by the following ordered steps:

-   -   1. The neighboring locations (xNbA, yNbA) and (xNbB, yNbB) are         set equal to (xCb−1, yCb+cbHeight−1) and (xCb+cbWidth−1, yCb−1),         respectively.     -   2. For X being replaced by either A or B, the variables         candIntraPredModeX are derived as follows:         -   The availability derivation process for a block as specified             in clause <begin>6.4.X [Ed. (BB): Neighboring blocks             availability checking process tbd]<end> is invoked with the             location (xCurr, yCurr) set equal to (xCb, yCb) and the             neighboring location (xNbY, yNbY) set equal to (xNbX, yNbX)             as inputs, and the output is assigned to availableX.         -   The candidate intra prediction mode candIntraPredModeX is             derived as follows:             -   If one or more of the following conditions are true,                 candIntraPredModeX is set equal to INTRA_PLANAR.                 -   The variable availableX is equal to FALSE.                 -   CuPredMode[xNbX][yNbX] is not equal to MODE_INTRA                     and ciip_flag[xNbX][yNbX] is not equal to 1.                 -   pcm_flag[xNbX][yNbX] is equal to 1.                 -   X is equal to B and yCb−1 is less than ((yCb>>CtbLog                     2SizeY)<<CtbLog 2SizeY).             -   Otherwise, candIntraPredModeX is derived as follows:                 -   If intra_lwip_flag[xCb][yCb] is equal to 1,                     candIntraPredModeX is derived by the following                     ordered steps:                 -    i. The size type derivation process for a block as                     specified in clause 8.4.X.1 is invoked with the                     width of the current coding block in luma samples                     cbWidth and the height of the current coding block                     in luma samples cbHeight as input, and the output is                     assigned to variable sizeId.                 -    ii. candIntraPredModeX is derived using                     IntraPredModeY[xNbX][yNbX] and sizeId as specified                     in Table 8-X3.             -   Otherwise, candIntraPredModeX is set equal to                 IntraPredModeY[xNbX][yNbX].     -   3. The variables ispDefaultMode1 and ispDefaultMode2 are defined         as follows:         -   If IntraSubPartitionsSplitType is equal to ISP_HOR_SPLIT,             ispDefaultMode1 is set equal to INTRA_ANGULAR18 and             ispDefaultMode2 is set equal to INTRA_ANGULAR5.         -   Otherwise, ispDefaultMode1 is set equal to INTRA_ANGULAR50             and ispDefaultMode2 is set equal to INTRA_ANGULAR63.

TABLE 8-X3 Specification of mapping between affine linear weighted intra prediction and intra prediction modes block size type sizeId IntraPredModey[ xNbX ][yNbX ] 0 1 2 0 0 0 1 1 18 1 1 2 18 0 1 3 0 1 1 4 18 0 18 5 0 22 0 6 12 18 1 7 0 18 0 8 18 1 1 9 2 0 50 10 18 1 0 11 12 0 12 18 1 13 18 0 14 1 44 15 18 0 16 18 50 17 0 1 18 0 0 19 50 20 0 21 50 22 0 23 56 24 0 25 50 26 66 27 50 28 56 29 50 30 50 31 1 32 50 33 50 34 50

8.4.3 Derivation Process for Chroma Intra Prediction Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current chroma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         In this process, the chroma intra prediction mode         IntraPredModeC[xCb][yCb] is derived.         The corresponding luma intra prediction mode lumaIntraPredMode         is derived as follows:—     -   If intra_lwip_flag[xCb][yCb] is equal to 1, lumaIntraPredMode is         derived by the following ordered steps:         -   i. The size type derivation process for a block as specified             in clause 8.4.X.1 is invoked with the width of the current             coding block in luma samples cbWidth and the height of the             current coding block in luma samples cbHeight as input, and             the output is assigned to variable sizeId.         -   ii. The luma intra prediction mode is derived using             IntraPredModeY[xCb+cbWidth/2][yCb+cbHeight/2] and sizeId as             specified in Table 8-X3 and assigning the value of             candIntraPredModeX to lumaIntraPredMode.     -   Otherwise, lumaIntraPredMode is set equal to         IntraPredModeY[xCb+cbWidth/2][yCb+cbHeight/2].         The chroma intra prediction mode IntraPredModeC[xCb][yCb] is         derived using intra_chroma_pred_model[xCb][yCb] and         lumaIntraPredMode as specified in Table 8-2 and Table 8-3.         xxx. Intra Sample Prediction         <begin>         Inputs to this process are:     -   a sample location (xTbCmp, yTbCmp) specifying the top-left         sample of the current transform block relative to the top-left         sample of the current picture,     -   a variable predModeIntra specifying the intra prediction mode,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height,     -   a variable nCbW specifying the coding block width,     -   a variable nCbH specifying the coding block height,     -   a variable cldx specifying the colour component of the current         block.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The predicted samples predSamples[x][y] are derived as follows:     -   If intra_lwip_flag[xTbCmp][yTbCmp] is equal to 1 and cldx is         equal to 0, the affine linear weighted intra sample prediction         process as specified in clause 8.4.4.2.X1 is invoked with the         location (xTbCmp, yTbCmp), the intra prediction mode         predModeIntra, the transform block width nTbW and height nTbH as         inputs, and the output is predSamples.     -   Otherwise, the general intra sample prediction process as         specified in clause 8.4.4.2.X1. is invoked with the location         (xTbCmp, yTbCmp), the intra prediction mode predModeIntra, the         transform block width nTbW and height nTbH, the coding block         width nCbW and height nCbH, and the variable cldx as inputs, and         the output is predSamples.

8.4.4.2.X1 Affine Linear Weighted Intra Sample Prediction

Inputs to this process are:

-   -   a sample location (xTbCmp, yTbCmp) specifying the top-left         sample of the current transform block relative to the top-left         sample of the current picture,     -   a variable predModeIntra specifying the intra prediction mode,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The size type derivation process for a block as specified in         clause 8.4.X.1 is invoked with the transform block width nTbW         and the transform block height nTbH as input, and the output is         assigned to variable sizeId.         Variables numModes, boundarySize, predW, predH and predC are         derived using sizeId as specified in Table 8-X4.

TABLE 8-X4 Specification of number of modes, boundary sample size and prediction sizes depending on sizeId sizeId numModes boundarySize predW predH predC 0 35 2 4 4 4 1 19 4 4 4 4 2 11 4 Min( nTbW, 8 ) Min( nTbH, 8 ) 8 The flag isTransposed is derived as follows:

isTransposed=(predModeIntra>(numModes/2))?1:0  (8-X15)

The flags needUpsBdryHor and needUpsBdryVer are derived as follows:

needUpsBdryHor=(nTbW>predW)?TRUE:FALSE  (8-X16)

needUpsBdryVer=(nTbH>predH)?TRUE:FALSE  (8-X17)

The variables upsBdryW and upsBdryH are derived as follows:

upsBdryW=(nTbH>nTbW)?nTbW:predW  (8-X18)

upsBdryH=(nTbH>nTbW)?predH:nTbH  (8-X19)

The variables lwipW and lwipH are derived as follows:

lwipW=(isTransposed==1)?predH:predW  (8-X20)

lwipH=(isTransposed==1)?predW:predH  (8-X21)

For the generation of the reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, the reference sample derivation process as specified in clause 8.4.4.2.X2 is invoked with the sample location (xTbCmp, yTbCmp), the transform block width nTbW, the transform block height nTbH as inputs, and top and left reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, respectively, as outputs. For the generation of the boundary samples p[x] with x=0 . . . 2*boundarySize−1, the following applies:

-   -   The boundary reduction process as specified in clause 8.4.4.2.X3         is invoked for the top reference samples with the block size         nTbW, the reference samples refT, the boundary size         boundarySize, the upsampling boundary flag needUpsBdryVer, and         the upsampling boundary size upsBdryW as inputs, and reduced         boundary samples redT[x] with x=0..boundarySize−1 and upsampling         boundary samples upsBdryT[x] with x=0..upsBdryW−1 as outputs.     -   The boundary reduction process as specified in clause 8.4.4.2.X3         is invoked for the left reference samples with the block size         nTbH, the reference samples refL, the boundary size         boundarySize, the upsampling boundary flag needUpsBdryHor, and         the upsampling boundary size upsBdryH as inputs, and reduced         boundary samples redL[x] with x=0..boundarySize−1 and upsampling         boundary samples upsBdryL[x] with x=0..upsBdryH−1 as outputs.     -   The reduced top and left boundary samples redT and redL are         assigned to the boundary sample array p as follows:         -   If isTransposed is equal to 1, p[x] is set equal to redL[x]             with x=0..boundarySize−1 and p[x+boundarySize] is set equal             to redT[x] with x=0..boundarySize−1.         -   Otherwise, p[x] is set equal to redT[x] with             x=0..boundarySize−1 and p[x+boundarySize] is set equal to             redL[x] with x=0..boundarySize−1.             For the intra sample prediction process according to             predModeIntra, the following ordered steps apply:     -   1. The affine linear weighted samples predLwip[x][y], with         x=0..lwipW−1, y=0..lwipH−1 are derived as follows:         -   The variable modeId is derived as follows:

modeId=predModeIntra−(isTransposed==1)?(numModes/2):0  (8-X22)

-   -   -   The weight matrix mWeight[x y] with x=0..2*boundarySize−1,             y=0..predC*predC−1 is derived using sizeId and modeId as             specified in Table 8-XX [TBD: add weight matrices].         -   The bias vector vBias[y] with y=0..predC*predC−1 is derived             using sizeId and modeId as specified in Table 8-XX [TBD: add             bias vectors].         -   The variable sW is derived using sizeId and modeId as             specified in Table 8-X5.         -   The affine linear weighted samples predLwip[x][y], with             x=0..lwipW−1, y=0..lwipH−1 are derived as follows:

oW=1<<(sW−1)  (8-X23)

sB=BitDepth_(Y)−1  (8-X24)

incW=(predC>lwipW)?2:1  (8-X25)

incH=(predC>lwipH)?2:1  (8-X26)

Σ_(i=0) ^(2*boundarySize−1)mWeight[i][y*incH*predC+x*incW]*p[i] predLwip[x][y]=(( )+Σ_(i=0) ^(2*boundarySize−1)mWeight[i][y*incH*predC+x*incW]*p[i](vBais[y*incH*predC+x*incW]<<sB)+oW)>>sW  (8-X27)

-   -   2. The predicted samples predSamples[x][y], with x=0..nTbW−1,         y=0..nTbH−1 are derived as follows:         -   When isTransposed is equal to 1, predLwip[x][y], with             x=0..predW−1, y=0..predH−1 is set equal to predLwip[y][x].         -   If needUpsBdryVer is equal to TRUE or needUpsBdryHor is             equal to TRUE, the prediction upsampling process as             specified in clause 8.4.4.2.X4 is invoked with the input             block width predW, the input block height predH, affine             linear weighted samples predLwip, the transform block width             nTbW, the transform block height nTbH, the upsampling             boundary width upsBdryW, the upsampling boundary height             upsBdryH, the top upsampling boundary samples upsBdryT, and             the left upsampling boundary samples upsBdryL as inputs, and             the output is the predicted sample array predSamples.         -   Otherwise, predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1             is set equal to predLwip[x][y].

TABLE 8-X5 Specification of weight shifts sW depending on sizeId and modeId modeID sizeID 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 0 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 8 8 8 9 8 8 8 8 9 8 2 8 8 8 8 8 8

8.4.4.2.X2 Reference Sample Derivation Process

Inputs to this process are:

-   -   a sample location (xTbY, yTbY) specifying the top-left luma         sample of the current transform block relative to the top-left         luma sample of the current picture,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height.         Outputs of this process are the top and left reference samples         refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1,         respectively.         The neighboring samples refT[x] with x=0..nTbW−1 and refL[y]         with y=0..nTbH−1 are constructed samples prior to the in-loop         filter process and derived as follows:     -   The top and left neighboring luma locations (xNbT, yNbT) and         (xNbL, yNbL) are specified by:

(xNbT,yNbT)=(xTbY+x,yTbY−1)  (8-X28)

(xNbL,yNbL)=(xTbY−1,yTbY+y)  (8-X29)

-   -   The availability derivation process for a block as specified in         clause 6.4.X [Ed. (BB): Neighboring blocks availability checking         process tbd] is invoked with the current luma location (xCurr,         yCurr) set equal to (xTbY, yTbY) and the top neighboring luma         location (xNbT, yNbT) as inputs, and the output is assigned to         availTop[x] with x=0..nTbW−1.     -   The availability derivation process for a block as specified in         clause 6.4.X [Ed. (BB): Neighboring blocks availability checking         process tbd] is invoked with the current luma location (xCurr,         yCurr) set equal to (xTbY, yTbY) and the left neighboring luma         location (xNbL, yNbL) as inputs, and the output is assigned to         availLeft[y] with y=0..nTbH−1.     -   The top reference samples refT[x] with x=0..nTbW−1 are derived         as follows:         -   If all availTop[x] with x=0..nTbW−1 are equal to TRUE, the             sample at the location (xNbT, yNbT) is assigned to refT[x]             with x=0..nTbW−1.         -   Otherwise, if availTop[0] is equal to FALSE, all refT[x]             with x=0..nTbW−1 are set equal to 1<<(BitDepth_(Y)−1).         -   Otherwise, reference samples refT[x] with x=0..nTbW−1 are             derived by the following ordered steps:             -   1. The variable lastT is set equal to the position x of                 the first element in the sequence availTop[x] with                 x=1..nTbW−1 that is equal to FALSE.             -   2. For every x=0..lastT−1, the sample at the location                 (xNbT, yNbT) is assigned to refT[x].             -   3. For every x=lastT..nTbW−1, refT[x] is set equal to                 refT[lastT−1].     -   The left reference samples refL[y] with x=0..nTbH−1 are derived         as follows:         -   If all availLeft[y] with y=0..nTbH−1 are equal to TRUE, the             sample at the location (xNbL, yNbL) is assigned to refL[y]             with y=0..nTbH−1.         -   Otherwise, if availLeft[0] is equal to FALSE, all refL[y]             with y=0..nTbH−1 are set equal to 1<<(BitDepth_(Y)−1).         -   Otherwise, reference samples refL[y] with y=0..nTbH−1 are             derived by the following ordered steps:             -   1. The variable lastL is set equal to the position y of                 the first element in the sequence availLeft[y] with                 y=1..nTbH−1 that is equal to FALSE.             -   2. For every y=0..lastL−1, the sample at the location                 (xNbL, yNbL) is assigned to refL[y].             -   3. For every y=lastL..nTbH−1, refL[y] is set equal to                 refL[lastL−1].

Specification of the Boundary Reduction Process

Inputs to this process are:

-   -   a variable nTbX specifying the transform block size,     -   reference samples refX[x] with x=0..nTbX−1,     -   a variable boundarySize specifying the downsampled boundary         size,     -   a flag needUpsBdryX specifying whether intermediate boundary         samples are required for upsampling,     -   a variable upsBdrySize specifying the boundary size for         upsampling.         Outputs of this process are the reduced boundary samples redX[x]         with x=0..boundarySize−1 and upsampling boundary samples         upsBdryX[x] with x=0..upsBdrySize−1.         The upsampling boundary samples upsBdryX[x] with         x=0..upsBdrySize−1 are derived as follows:     -   If needUpsBdryX is equal to TRUE and upsBdrySize is less than         nTbX, the following applies:

uDwn=nTbX/upsBdrySize  (8-X30)

upsBdryX[x]=(Σ_(i=0) ^(uDwn−1)refX[x*uDwn+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn)  (8-X31)

-   -   Otherwise (upsBdrySize is equal to nTbX), upsBdryX[x] is set         equal to refX[x].         The reduced boundary samples redX[x] with x=0..boundarySize−1         are derived as follows:—     -   If boundarySize is less than upsBdrySize, the following applies:

bDwn=upsBdrySize/boundarySize  (8-X32)

redyX[x]=(Σ_(i=0) ^(uDwn−1)upsBdryX[x*uDwn+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn)  (8-X33)

-   -   Otherwise (boundarySize is equal to upsBdrySize), redX[x] is set         equal to upsBdryX[x].

8.4.4.2.X4 Specification of the Prediction Upsampling Process

Inputs to this process are:

-   -   a variable predW specifying the input block width,     -   a variable predH specifying the input block height,     -   affine linear weighted samples predLwip[x][y], with         x=0..predW−1, y=0..predH−1,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height,     -   a variable upsBdryW specifying the upsampling boundary width,     -   a variable upsBdryH specifying the upsampling boundary height,     -   top upsampling boundary samples upsBdryT[x] with         x=0..upsBdryW−1,     -   left upsampling boundary samples upsBdryL[x] with         x=0..upsBdryH−1.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The sparse predicted samples predSamples[m][n] are derived from         predLwip[x][y], with x=0..predW−1, y=0..predH−1 as follows:

upHor=nTbW/predW  (8-X34)

upVer=nTbH/predH  (8-X35)

predSamples[(x+1)*upHor−1][(y+1)*upVer−1]=predLwip[x][y]  (8-X36)

The top boundary samples upsBdryT[x] with x=0..upsBdryW−1 are assigned to predSamples[m][−1] as follows:

predSamples[(x+1)*(nTbW/upsBdryW)−1][−1]=upsBdryT[x]  (8-X37)

The left boundary samples upsBdryL[y] with y=0..upsBdryH−1 are assigned to predSamples[−1][n] as follows:

predSamples[−1][(y+1)*(nTbH/upsBdryH)−1]=upsBdryL[y]  (8-X38)

The predicted samples predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1 are derived as follows:

-   -   If nTbH is greater than nTbW, the following ordered steps apply:         -   1. When upHor is greater than 1, horizontal upsampling for             all sparse positions (xHor, yHor)=(m*upHor−1, n*upVer−1)             with m=0..predW−1, n=1..predH is applied with dX=1..upHor−1             as follows:

predSamples[xHor+dX][yHor]=((upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor])/upHor  (8-X39)

-   -   -   2. Vertical upsampling for all sparse positions (xVer,             yVer)=(m, n*upVer−1) with m=0..nTbW−1, n=0..predH−1 is             applied with dY=1..upVer−1 as follows:

predSamples[xVer][yVer+dY]=((upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer])/upVer  (8-X40)

-   -   Otherwise, the following ordered steps apply:         -   1. When upVer is greater than 1, vertical upsampling for all             sparse positions (xVer, yVer)=(m*upHor−1, n*upVer−1) with             m=1..predW, n=0..predH−1 is applied with dY=1..upVer−1 as             specified in (8-X40).         -   2. Horizontal upsampling for all sparse positions (xHor,             yHor)=(m*upHor−1, n) with m=0..predW−1, n=0..nTbH−1 is             applied with dX=1..upHor−1 as specified in (8-X39).             <end>

TABLE 9-9 Syntax elements and associated binarizations Binarization Syntax structure Syntax element Process Input parameters coding_unit( ) cu_skip_fag[ ][ ] FL cMax = 1 pred_mode_ibc_flag FL cMax = 1 pred_mode_flag FL cMax = 1 <begin>intra_lwip_flag[ ] FL cMax = 1 [ ] intra_lwip_mpm_flag[ ][ ] FL cMax = 1 intra_lwip_mpm_idx[ ][ ] TR cMax = 2, cRiceParam = 0 intra_lwip_mpm_remainder FL cMax = (cbWidth = = 4 && cbHeight = = 4) ? 31 : [ ][ ] ( (cb Width <= 8 && cbHeight <= 8) ? 15 : 7) . . .

TABLE 9-15 Assignment of ctxInc to syntax elements with context coded bins binIdx Syntax element 0 1 2 3 4 >=5 . . . terminate na na na na na intra_lwip_flag[ ][ ] (Abs( Log2(cbWidth) na na na na na − Log2(cbHeight) ) > 1) ? 3 : ( 0,1,2 (clause 9.5.4.2.2) ) intra_lwip_mpm_flag[ ][ ] 0 na na na na na intra_lwip_mpm_idx[ ][ ] bypass bypass na na na na intra_lwip_mpm_remainde bypass bypass bypass bypass bypass na r[ ][ ]

TABLE 9-16 Specification of ctxInc using left and above syntax elements Syntax element CondL condA ctxSetIdx . . . intra_lwip_flag[ x0 ][ y0 ] intra_lwip_flag[ xNbL ][ yNbL ] intra_lwip_flag[ xNbA ][ yNbA ] 0 . . . <end>

Summary of ALWIP

For predicting the samples of a rectangular block of width W and height H, affine linear weighted intra prediction (ALWIP) takes one line of H reconstructed neighboring boundary samples left of the block and one line of W reconstructed neighboring boundary samples above the block as input. If the reconstructed samples are unavailable, they are generated as it is done in the conventional intra prediction. ALWIP is only applied to luma intra block. For chroma intra block, the conventional intra coding modes are applied.

The generation of the prediction signal is based on the following three steps:

-   -   1. Out of the boundary samples, four samples in the case of         W=H=4 and eight samples in all other cases are extracted by         averaging.     -   2. A matrix vector multiplication, followed by addition of an         offset, is carried out with the averaged samples as an input.         The result is a reduced prediction signal on a subsampled set of         samples in the original block.     -   3. The prediction signal at the remaining positions is generated         from the prediction signal on the subsampled set by linear         interpolation which is a single step linear interpolation in         each direction.

If an ALWIP mode is to be applied, the index predmode of the ALWIP mode is signaled using a MPM-list with 3 MPMS. Here, the derivation of the MPMs is performed using the intra-modes of the above and the left PU as follows. There are three fixed tables map_angular_to_alwip_(idx), idx∈{0,1,2} that assign to each conventional intra prediction mode predmode_(Angular) an ALWIP mode

predmode_(ALWIP)=map_angular_to_alwip_(idx)[predmode_(Angular)].

For each PU of width W and height H one defines an index

idx(PU)=idx(W, H)∈{0,1,2}

that indicates from which of the three sets the ALWIP-parameters are to be taken.

If the above Prediction Unit PU_(above) is available, belongs to the same CTU as the current PU and is in intra mode, if idx(PU)=idx(PU_(above)) and if ALWIP is applied on PU_(above) with ALWIP-mode predmode_(ALWIP) ^(above), one puts

mode_(ALWIP) ^(above)=predmode_(ALWIP) ^(above).

If the above PU is available, belongs to the same CTU as the current PU and is in intra mode and if a conventional intra prediction mode predmode_(Angular) ^(above) is applied on the above PU, one puts

mode_(ALWIP) ^(above)=map_angular_to_alwip_(idx(PU) _(above) ₎[predmode_(Angular) ^(above)].

In all other cases, one puts

mode_(ALWIP) ^(above)=−1

which means that this mode is unavailable. In the same way but without the restriction that the left PU needs to belong to the same CTU as the current PU, one derives a mode mode_(ALWIP) ^(left).

Finally, three fixed default lists list_(idx), idx∈{0,1,2} are provided, each of which contains three distinct ALWIP modes. Out of the default list list_(idx(PU)) and the modes mode_(ALWIP) ^(above) and mode_(ALWIP) ^(left), one constructs three distinct MPMs by substituting −1 by default values as well as eliminating repetitions.

For the luma MPM-list derivation, whenever a neighboring luma block is encountered which uses an ALWIP-mode predmode_(ALWIP), this block is treated as if it was using the conventional intra-prediction mode predmode_(Angular).

predmode_(Angular)=map_alwip_to_angular_(idx(PU))[predmode_(ALWIP)]

3 Transform in VVC 3.1 Multiple Transform Selection (MTS)

In addition to discrete cosine transform (DCT)-II which has been employed in HEVC, a Multiple Transform Selection (MTS) scheme is used for residual coding both inter and intra coded blocks. It uses multiple selected transforms from the DCT8/discrete sine transform (DST)7. The newly introduced transform matrices are DST-VII and DCT-VIII.

3.2 Reduced Secondary Transform (RST) Proposed in JVET-N0193

Reduced secondary transform (RST) applies 16×16 and 16×64 non-separable transform for 4×4 and 8×8 blocks, respectively. Primary forward and inverse transforms are still performed the same way as two one-dimensional (1-D) horizontal/vertical transform passes. Secondary forward and inverse transforms are a separate process step from that of primary transforms. For encoder, primary forward transform is performed first, then followed by secondary forward transform and quantization, and context-adaptive binary arithmetic coding (CABAC) bit encoding. For decoder, CABAC bit decoding and inverse quantization, then Secondary inverse transform is performed first, then followed by primary inverse transform. RST applies only to intra coded TUs in both intra slice and inter slices.

3.3 A Unified MPM List for Intra Mode Coding in JVET-N0185

A unified 6-MPM list is proposed for intra blocks irrespective of whether Multiple Reference Line (MRL) and Intra sub-partition (ISP) coding tools are applied or not. The MPM list is constructed based on intra modes of the left and above neighboring block as in VTM4.0. Suppose the mode of the left is denoted as Left and the mode of the above block is denoted as Above, the unified MPM list is constructed as follows:

-   -   When a neighboring block is not available, its intra mode is set         to Planar by default.     -   If both modes Left and Above are non-angular modes:     -   a. MPM list→{Planar, DC, V, H, V−4, V+4}     -   If one of modes Left and Above is angular mode, and the other is         non-angular:     -   a. Set a mode Max as the larger mode in Left and Above     -   b. MPM list→{Planar, Max, DC, Max −1, Max +1, Max −2}     -   If Left and Above are both angular and they are different:     -   a. Set a mode Max as the larger mode in Left and Above     -   b. if the difference of mode Left and Above is in the range of 2         to 62, inclusive         -   i. MPM list→{Planar, Left, Above, DC, Max −1, Max +1}     -   c. Otherwise         -   i. MPM list→{Planar, Left, Above, DC, Max −2, Max +2}     -   If Left and Above are both angular and they are the same:     -   a. MPM list→{Planar, Left, Left −1, Left +1, DC, Left −2}

Besides, the first bin of the MPM index codeword is CABAC context coded. In total three contexts are used, corresponding to whether the current intra block is MRL enabled, ISP enabled, or a normal intra block.

The left neighboring block and above neighboring block used in the unified MPM list construction is A2 and B2 as shown in FIG. 10 .

One MPM flag is firstly coded. If the block is coded with one of mode in the MPM list, an MPM index is further coded. Otherwise, an index to the remaining modes (excluding MPMs) is coded.

4 Examples of Drawbacks in Existing Implementations

The design of ALWIP in JVET-N0217 has the following problems:

-   -   1) At the March 2019 JVET meeting, a unified 6-MPM list         generation was adopted for MRL mode, ISP mode, and normal intra         mode. But the affine linear weighted prediction mode uses a         different 3-MPM list construction which makes the MPM list         construction complicated. A complex MPM list construction might         compromise the throughput of the decoder, in particular for         small blocks such as 4×4 samples.     -   2) ALWIP is only applied to luma component of the block. For the         chroma component of an ALWP coded block, a chroma mode index is         coded and sent to decoder, which could result in unnecessary         signaling.     -   3) The interactions of ALWIP with other coding tools should be         considered.     -   4) When calculating upsBdryX in upsBdryX[x]=Σ_(i=)         ^(uDown−1)refX[uDwn+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn)         (8-X31), it is possible that Log 2(uDwn)−1 is equal to −1, while         left shifted with −1 is undefined.     -   5) When upsampling the prediction samples, no rounding is         applied.     -   6) In the deblocking process, ALWIP coded blocks are treated as         normal intra-blocks.     -   7) Too many contexts (e.g., 4) are used in coding ALWIP flag         (e.g., intra_lwip_flag).     -   8) When both vertical up-sampling and horizontal up-sampling are         required, the up-sampling order depends on block shape. This is         not hardware friendly.     -   9) Linear interpolation filter is used for up-sampling, which         may be inefficient.

5 Exemplary Methods for Matrix-Based Intra Coding

Embodiments of the presently disclosed technology overcome drawbacks of existing implementations, thereby providing video coding with higher coding efficiencies but lower computational complexity. Matrix-based intra prediction methods for video coding, and as described in the present disclosure, may enhance both existing and future video coding standards, is elucidated in the following examples described for various implementations. The examples of the disclosed technology provided below explain general concepts, and are not meant to be interpreted as limiting. In an example, unless explicitly indicated to the contrary, the various features described in these examples may be combined.

In the following discussion, an intra-prediction mode refers to an angular intra prediction mode (including DC, planar, CCLM and other possible intra prediction modes); while an intra mode refers to normal intra mode, or MRL, or ISP or ALWIP.

In the following discussion, “Other intra modes” may refer to one or multiple intra modes except ALWIP, such as normal intra mode, or MRL, or ISP.

In the following discussion, SatShift(x, n) is defined as

${{SatShift}\left( {x,n} \right)} = \left\{ \begin{matrix} {\left( {x + {{offsset}0}} \right) \gg n} & {{{if}x} \geq 0} \\ {- \left( \left( {{{- x} + {{offset}1}} \gg n} \right) \right.} & {{{if}x} < 0} \end{matrix} \right.$

Shift(x, n) is defined as Shift(x, n)=(x+offset0)>>n.

In one example, offset0 and/or offset1 are set to (1<<n)>>1 or (1<<(n−1)). In another example, offset0 and/or offset1 are set to 0.

In another example, offset0=offset1=((1<<n)>>1)−1 or ((1<<(n−1)))−1.

Clip3(min, max, x) is defined as

${{Clip}3\left( {{Min},{Max},x} \right)} = \left\{ \begin{matrix} {Min} & {{{if}x} < {Min}} \\ {Max} & {{{if}x} > {Max}} \\ x & {Otherwise} \end{matrix} \right.$

MPM List Construction for ALWIP

-   -   1. It is proposed that the whole or partial of the MPM list for         ALWIP may be constructed according to the whole or partial         procedure to construct the MPM list for non-ALWIP intra mode         (such as normal intra mode, MRL, or ISP).         -   a. In one example, the size of the MPM list for ALWIP may be             the same as that of the MPM list for non-ALWIP intra mode.             -   i. For example, the size of MPM list is 6 for both ALWIP                 and non-ALWIP intra modes.         -   b. In one example, the MPM list for ALWIP may be derived             from the MPM list for non-ALWIP intra mode.             -   i. In one example, the MPM list for non-ALWIP intra mode                 may be firstly constructed. Afterwards, partial or all                 of them may be converted to the MPMs which may be                 further added to the MPM list for ALWIP coded blocks.                 -   1) Alternatively, furthermore, when adding a                     converted MPM to the MPM list for ALWIP coded                     blocks, pruning may be applied.                 -   2) Default modes may be added to the MPM list for                     ALWIP coded blocks.                 -    a. In one example, default modes may be added                     before those converted from the MPM list of                     non-ALWIP intra mode.                 -    b. Alternatively, default modes may be added after                     those converted from the MPM list of non-ALWIP intra                     mode.                 -    c. Alternatively, default modes may be added in an                     interleaved way with those converted from the MPM                     list of non-ALWIP intra mode.                 -    d. In one example, the default modes may be fixed                     to be the same for all kinds of blocks.                 -    e. Alternatively, the default modes may be                     determined according to coded information, such as                     availability of neighboring blocks, mode information                     of neighboring blocks, block dimension.             -   ii. In one example, one intra-prediction mode in the MPM                 list for non-ALWIP intra mode may be converted to its                 corresponding ALWIP intra-prediction mode, when it is                 put into the MPM list for ALWIP.                 -   1) Alternatively, all the intra-prediction modes in                     the MPM list for non-ALWIP intra modes may be                     converted to corresponding ALWIP intra-prediction                     modes before being used to construct the MPM list                     for ALWIP.                 -   2) Alternatively, all the candidate intra-prediction                     modes (may include the intra-prediction modes from                     neighboring blocks and default intra-prediction                     modes such as Planar and DC) may be converted to                     corresponding ALWIP intra-prediction modes before                     being used to construct the MPM list for non-ALWIP                     intra modes, if the MPM list for non-ALWIP intra                     modes may be further used to derive the MPM list for                     ALWIP.                 -   3) In one example, two converted ALWIP                     intra-prediction modes may be compared.                 -    a. In one example, if they are the same, only one                     of them may be put into the MPM list for ALWIP.                 -    b. In one example, if they are the same, only one                     of them may be put into the MPM list for non-ALWIP                     intra modes.             -   iii. In one example, K out of S intra-prediction modes                 in the MPM list for non-ALWIP intra modes may be picked                 as the MPM list for ALWIP mode. E.g., K is equal to 3                 and S is equal to 6.                 -   1) In one example, the first K intra-prediction                     modes in the MPM list for non-ALWIP intra modes may                     be picked as the MPM list for ALWIP mode.     -   2. It is proposed that the one or multiple neighboring blocks         used to derive the MPM list for ALWIP may also be used to used         derive the MPM list for non-ALWIP intra modes (such as normal         intra mode, MRL, or ISP).         -   a. In one example, the neighboring block left to the current             block used to derive the MPM list for ALWIP should be the             same as that used to derive the MPM list for non-ALWIP intra             modes.             -   i. Suppose the top-left corner of the current block is                 (xCb, yCb), the width and height of the current block                 are W and H, then in one example, the left neighboring                 block used to derive the MPM list for both ALWIP and                 non-ALWIP intra modes may cover the position (xCb−1,                 yCb). In an alternative example, the left neighboring                 block used to derive the MPM list for both ALWIP and                 non-ALWIP intra modes may cover the position (xCb−1,                 yCb+H−1).             -   ii. For example, the left neighboring block and above                 neighboring block used in the unified MPM list                 construction is A2 and B2 as shown in FIG. 10 .         -   b. In one example, the neighboring block above to the             current block used to derive the MPM list for ALWIP should             be the same as that used to derive the MPM list for             non-ALWIP intra modes.             -   i. Suppose the top-left corner of the current block is                 (xCb, yCb), the width and height of the current block                 are W and H, then in one example, the above neighboring                 block used to derive the MPM list for both ALWIP and                 non-ALWIP intra modes may cover the position (xCb,                 yCb−1). In an alternative example, the above neighboring                 block used to derive the MPM list for both ALWIP and                 non-ALWIP intra modes may cover the position (xCb+W−1,                 yCb−1).             -   ii. For example, the left neighboring block and above                 neighboring block used in the unified MPM list                 construction is A1 and B1 as shown in FIG. 10 .     -   3. It is proposed that the MPM list for ALWIP may be constructed         in different ways according to the width and/or height of the         current block.         -   a. In one example, different neighboring blocks may be             accessed for different block dimensions.     -   4. It is proposed that the MPM list for ALWIP and the MPM list         for non-ALWIP intra modes may be constructed with the same         procedure but with different parameters.         -   a. In one example, K out of S intra-prediction modes in the             MPM list construction procedure of non-ALWIP intra modes may             be derived for the MPM list used in ALWIP mode. E.g., K is             equal to 3 and S is equal to 6.             -   i. In one example, the first K intra-prediction modes in                 the MPM list construction procedure may be derived for                 the MPM list used in ALWIP mode.         -   b. In one example, the first mode in the MPM list may be             different.             -   i. For example, the first mode in the MPM list for                 non-ALWIP intra modes may be Planar, but it may be a                 Mode X0 in the MPM list for ALWIP.                 -   1) In one example, X0 may be the ALWIP                     intra-prediction mode converted from Planar.         -   c. In one example, stuffing modes in the MPM list may be             different.             -   i. For example, the first three stuffing modes in the                 MPM list for non-ALWIP intra modes may be DC, Vertical                 and Horizontal, but they may be Mode X1, X2, X3 in the                 MPM list for ALWIP.                 -   1) In one example, X1, X2, X3 may be different for                     different sizeId.             -   ii. In one example, the number of stuffing mode may be                 different.         -   d. In one example, neighboring modes in the MPM list may be             different.             -   i. For example, the normal intra-prediction modes of                 neighboring blocks are used to construct the MPM list                 for non-ALWIP intra modes. And they are converted to                 ALWIP intra-prediction modes to construct the MPM list                 for ALWIP mode.         -   e. In one example, the shifted modes in the MPM list may be             different.             -   i. For example, X+K0 where X is a normal                 intra-prediction mode and K0 is an integer may be put                 into the MPM list for non-ALWIP intra modes. And Y+K1                 where Y is an ALWIP intra-prediction mode and K1 is an                 integer may be put into the MPM list for ALWIP, where K0                 may be different from K1.                 -   1) In one example, K1 may depend on the width and                     height.     -   5. It is proposed that a neighboring block is treated as         unavailable if it is coded with ALWIP when constructing the MPM         list for the current block with non-ALWIP intra modes.         -   a. Alternatively, a neighboring block is treated as being             coded with a predefined intra-prediction mode (such as             Planar) if it is coded with ALWIP when constructing the MPM             list for the current block with non-ALWIP intra modes.     -   6. It is proposed that a neighboring block is treated as         unavailable if it is coded with non-ALWIP intra modes when         constructing the MPM list for the current block with ALWIP mode.         -   a. Alternatively, a neighboring block is treated as being             coded with a predefined ALWIP intra-prediction mode X if it             is coded with non-ALWIP intra modes when constructing the             MPM list for the current block with ALWIP mode.             -   i. In one example, X may depend on the block dimensions,                 such as width and/or height.     -   7. It is proposed to remove the storage of ALWIP flag from line         buffer.         -   a. In one example, when the 2^(nd) block to be accessed is             located in a different largest coding unit (LCU)/CTU             row/region compared to the current block, the conditional             check of whether the 2^(nd) block is coded with ALWIP is             skipped.         -   b. In one example, when the 2^(nd) block to be accessed is             located in a different LCU/CTU row/region compared to the             current block, the 2^(nd) block is treated in the same way             as non-ALWIP mode, such as treated as normal intra coded             block.     -   8. When encoding the ALWIP flag, no more than K (K>=0) contexts         may be used.         -   a. In one example, K=1.     -   9. It is proposed to store the converted intra prediction mode         of ALWIP coded blocks instead of directly storing the mode index         associated with the ALWIP mode.         -   a. In one example, the decoded mode index associated with             one ALWIP coded block is mapped to the normal intra mode,             such as according to map_alwip_to_angular as described in             Section 2.5.7.         -   b. Alternatively, furthermore, the storage of ALWIP flag is             totally removed.         -   c. Alternatively, furthermore, the storage of ALWIP mode is             totally removed.         -   d. Alternatively, furthermore, condition check of whether             one neighboring/current block is coded with ALWIP flag may             be skipped.         -   e. Alternatively, furthermore, the conversion of modes             assigned for ALWIP coded blocks and normal intra predictions             associated with one accessed block may be skipped.

ALWIP on Different Color Components

-   -   10. It is proposed that an inferred chroma intra mode (e.g., DM         mode) might be always applied if the corresponding luma block is         coded with ALWIP mode.         -   a. In one example, chroma intra mode is inferred to be DM             mode without signaling if the corresponding luma block is             coded with ALWIP mode.         -   b. In one example, the corresponding luma block may be the             one covering the corresponding sample of a chroma sample             located at a given position (e.g., top-left of current             chroma block, center of current chroma block).         -   c. In one example, the DM mode may be derived according to             the intra prediction mode of the corresponding luma block,             such as via mapping the (ALWIP) mode to one of the normal             intra mode.     -   11. When the corresponding luma block of the chroma blocks is         coded with ALWIP mode, several DM modes may be derived.     -   12. In the chroma mode decision process (e.g., direct         mode/derived mode), a corresponding luma block used to determine         whether it is ALWIP-coded and/or its ALWIP mode, may be decided         depending on the top-left position together with the dimensions         of the coded chroma block(s) and/or color format.         -   a. Suppose the top-left position of the coded chroma             block(s) is (xCb, yCb), and the width and height of the             coded chroma block(s) are CbWidth and CbHeight respectively,             wherein all positions and lengths are within luma sample             unit.         -   b. In one example, the corresponding luma block may be             selected as the luma block (e.g., coding block) which covers             the position (xCb+offsetY, yCb+offsetY) wherein it is             disallowed to have both offsetX and offsetY equal to 0.             -   i. In one example, offsetX=(CbWidth/2) or (CbWidth/2−1)                 or (CbWidth/2+1)             -   ii. In one example, offsetY=(CbHeight/2)) or                 (CbHeight/2−1) or (CbHeight/2+1).     -   13. It is proposed that a special mode is assigned to the chroma         blocks if one corresponding luma block is coded with ALWIP mode.         -   a. In one example, the special mode is defined to be a given             normal intra prediction mode regardless the intra prediction             mode associated with the ALWIP coded blocks.         -   b. In one example, different ways of intra prediction may be             assigned to this special mode.         -   c. Alternatively, if a luma block is coded with ALWIP mode,             the associated normal intra mode for chroma DM mode may be             always inferred to be the identified special mode.         -   d. Alternatively, furthermore, the signaling of chroma modes             may be skipped.         -   e. Alternatively, when the corresponding luma block of the             chroma block(s) is coded with the ALWIP mode, and DM mode is             signaled for the chroma block(s), a predefined             intra-prediction mode is applied for the chroma block(s).             -   i. For example, the predefined intra-prediction mode may                 be the Planar mode.             -   ii. For example, the predefined intra-prediction mode                 may be dependent on coded information, such as                 indication of screen content.                 -   1) In one example, if indication of screen content                     denotes that the content is camera captured content,                     it may be set to Planar mode.                 -   2) In one example, if indication of screen content                     denotes that the content is screen content, it may                     be set to horizontal prediction mode.         -   f. In one example, when the corresponding luma block of the             chroma block(s) is coded with the ALWIP mode, DM mode may be             never used for the chroma block(s).             -   i. For example, DM mode related syntax may be not                 signaled.                 -   1) In one example, if the corresponding luma block                     is ALWIP mode and sps_cclm_enabled_flag is equal to                     false, then four chroma modes may be allowed to be                     signaled for the chroma block.                 -    a. For example, in this case, at most two bins may                     be required for the binarization of intra chroma                     modes.                 -   2) In one example, if the corresponding luma block                     is ALWIP mode and sps_cclm_enabled_flag is equal to                     true, then seven chroma modes may be allowed to be                     signaled for the chroma block.                 -    a. For example, in this case, at most four bins may                     be required for the binarization of intra chroma                     modes.     -   14. It is proposed that ALWIP may also be applied to chroma         components.         -   a. In one example, the matrix and/or bias vector may be             different for different color components.         -   b. In one example, the matrix and/or bias vector may be             predefined jointly for blue-difference chroma (Cb) and             red-difference chroma (Cr).             -   i. In one example, Cb and Cr component may be                 concatenated.             -   ii. In one example, Cb and Cr component may be                 interleaved.         -   c. In one example, the chroma component may share the same             ALWIP intra-prediction mode as the corresponding luma block.             -   i. In one example, the same ALWIP intra-prediction mode                 is applied on the chroma component if the corresponding                 luma block applies the ALWIP mode and the chroma block                 is coded with DM mode.             -   ii. In one example, the same ALWIP intra-prediction mode                 is applied on the chroma component and the linear                 interpolation thereafter can be skipped.             -   iii. In one example, the same ALWIP intra-prediction                 mode is applied on the chroma component with a                 subsampled matrix and/or bias vector.         -   d. In one example, the number of ALWIP intra-prediction             modes for different component may be different.             -   i. For example, the number of ALWIP intra-prediction                 modes for chroma components may be less than that for                 luma component for the same block width and height.

Applicability of ALWIP

-   -   15. It is proposed that whether ALWIP can be applied may be         signaled.         -   a. For example, it may be signaled at sequence level (e.g.,             in SPS), at picture level (e.g., in PPS or picture header),             at slice level (e.g., in slice header), at tile group level             (e.g., in tile group header), at tile level, at CTU row             level, or at CTU level.         -   b. For example, intra_lwip_flag may not be signaled and             inferred to be 0 if ALWIP cannot be applied.     -   16. It is proposed that whether ALWIP can be applied may depend         on the block width (W) and/or height (H).         -   c. For example, ALWIP may not be applied if W>=T1 (or W>T1)             and H>=T2 (or H>T2). E.g., T1=T2=32;             -   i. For example, ALWIP may not be applied if W<=T1 (or                 W<T1) and H<=T2 (or H<T2). E.g., T1=T2=32;         -   d. For example, ALWIP may not be applied if W>=T1 (or W>T1)             or H>=T2 (or H>T2). E.g., T1=T2=32;             -   i. For example, ALWIP may not be applied if W<=T1 (or                 W<T1) or H<=T2 (or H<T2). E.g., T1=T2=32;         -   e. For example, ALWIP may not be applied if W+H>=T (or             W*H>T). E.g., T=256;             -   i. For example, ALWIP may not be applied if W+H<=T (or                 W+H<T). E.g., T=256;         -   f. For example, ALWIP may not be applied if W*H>=T (or             W*H>T). E.g., T=256;             -   i. For example, ALWIP may not be applied if W*H<=T (or                 W*H<T). E.g., T=256;         -   g. For example, intra_lwip_flag may not be signaled and             inferred to be 0 if ALWIP cannot be applied.             Calculation problems in ALWIP     -   17. It is proposed that any shift operation involved in ALWIP         can only left shift or right shift a number by S, where S must         be larger or equal to 0.         -   a. In one example, the right shift operation may be             different when S is equal to 0 or larger than 0.             -   i. In one example, upsBdryX[x] should be calculated as

upsBdryX[x]=(Σ_(i=0) ^(uDown−1)refX[x*uDown+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn) when uDwn>1, and upsBdryX[x]=Σ _(i=0) ^(uDown−1)refX[x*uDown+i] when uDwn is equal to 1.

-   -   -   b. In one example, upsBdryX[x] should be calculated as

upsBdryX[x]=(Σ_(i=0) ^(uDown−1)refX[x*uDown+i]+(1<<Log 2(uDwn)>>1))>>Log 2(uDwn)

-   -   18. It is proposed that the results should be rounded         toward-zero or away-from-zero in the up-sampling process of         ALWIP.         -   a. In one example,

predSamples[xHor+dX][yHor]=((upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]+offsetHor)/upHor  (8-X39)

and

predSamples[xVer][yVer+dY]=((upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer]+offsetVer)/upVer  (8-X40)

-   -    where offsetHor and offsetVer are integers. For example,         offsetHor=upHor/2 and offsetVer=upVer/2.         Interaction with Other Coding Tools     -   19. It is proposed that ALWIP may be used for a CIIP-coded         block.         -   a. In one example, in a CIIP-coded block, it may be             explicitly signaled whether an ALWIP intra-prediction mode             or a normal intra prediction mode such as Planar is used to             generate the intra prediction signal.         -   b. In one example, it may be implicitly inferred whether an             ALWIP intra-prediction mode or a normal intra prediction             mode such as Planar may be used to generate the intra             prediction signal.             -   i. In one example, ALWIP intra-prediction mode may never                 be used in a CIIP coded block.                 -   1) Alternatively, normal intra prediction may never                     be used in a CIIP coded block.             -   ii. In one example, it may be inferred from information                 of neighboring blocks whether an ALWIP intra-prediction                 mode or a normal intra prediction mode such as Planar is                 used to generate the intra prediction signal.     -   20. It is proposed that the whole or partial of the procedure         used to down-sample the neighboring luma samples in the CCLM         mode may be used to down-sample the neighboring samples in the         ALWIP mode.         -   a. Alternatively, the whole or partial of the procedure used             to down-sample the neighboring luma samples in the ALWIP             mode may be used to down-sample the neighboring samples in             the CCLM mode.         -   b. The down-sampling procedure may be invoked with different             parameters/arguments when it is used in the CCLM process and             ALWIP process.         -   c. In one example, the down-sampling method (such as             selection of neighboring luma locations, down-sampling             filters) in the CCLM process may be utilized in the ALWIP             process.         -   d. The procedure used to down-sample the neighboring luma             samples at least include the selection of down-sampled             positions, the down-sampling filters, the rounding and             clipping operations.     -   21. It is proposed that a block coded with ALWIP mode cannot         apply RST or/and secondary transform or/and rotation transform         or/and Non-Separable Secondary Transform (NSST).         -   a. In one example, whether such constraint may be applied or             not may depend on the dimension information of the block,             e.g., same as conditions described in (15).         -   b. Alternatively, ALWIP mode may be disallowed when RST             or/and secondary transform or/and rotation transform or/and             NSST is applied.         -   c. Alternatively, a block coded with ALWIP mode may apply             RST or/and secondary transform or/and rotation transform             or/and Non-Separable Secondary Transform (NSST).             -   i. In one example, the selection of transform matrix may                 depend the ALWIP intra-prediction mode.             -   ii. In one example, the selection of transform matrix                 may depend the normal intra-prediction mode which is                 converted from the ALWIP intra-prediction mode.             -   iii. In one example, the selection of transform matrix                 may depend the classification on the normal                 intra-prediction mode which is converted from the ALWIP                 intra-prediction mode.     -   22. It is proposed that a block coded with ALWIP mode cannot         apply Block-based DPCM (BDPCM) or Residue RDPCM.         -   a. Alternatively, ALWIP mode may be disallowed when BDPCM or             RDPCM is applied.     -   23. It is proposed that a block coded with ALWIP mode may only         use DCT-II as the transform.         -   a. In one example, the signalling of transform matrix             indices is always skipped.         -   b. Alternatively, it is proposed that the transform used for             a block coded with ALWIP mode may be implicitly derived             instead of explicitly signaled. For example, the transform             may be selected following the way proposed in JVET-M0303.         -   c. Alternatively, it is proposed that a block coded with             ALWIP mode may only use transform skip.             -   i. Alternatively, furthermore, when ALWIP is used, the                 signalling of indication of usage of transform skip is                 skipped.         -   d. In one example, ALWIP mode information (such as             enabled/disabled, prediction mode index) may be             conditionally signalled after indications of transform             matrix.             -   i. In one example, for a given transform matrix (such as                 transform skip or DCT-II), the indications of ALWIP mode                 information may be signalled.             -   ii. Alternatively, furthermore, the indications of ALWIP                 mode information may be skipped for some pre-defined                 transform matrices.     -   24. It is proposed that a block coded with ALWIP mode is         regarded to be coded with a normal intra-prediction converted         from the ALWIP intra-prediction mode when the selected transform         is mode-dependent.     -   25. ALWIP mode may not use transform skip.         -   a. For example, there is no need to further signal the             indication of usage of transform skip in this case.         -   b. Alternatively, ALWIP mode may be disallowed when             transform skip is applied.             -   i. For example, there is no need to signal ALWIP mode                 information when transform skip is applied in this case.     -   26. In the filtering process, such as deblocking filter, sample         adaptive offset (SAO), adaptive loop filter (ALF), how to select         the filters and/or whether to filter samples may be determined         by the usage of ALWIP.     -   27. Unfiltered neighboring samples may be used in ALWIP mode.         -   a. Alternatively, filtered neighboring samples may be used             in ALWIP mode.         -   b. In one example, filtered neighboring samples may be used             for down sampling and unfiltered neighboring samples may be             used for up sampling.         -   c. In one example, unfiltered neighboring samples may be             used for down sampling and filtered neighboring samples may             be used for up sampling.         -   d. In one example, filtered left neighboring samples may be             used in up sampling and unfiltered above neighboring samples             may be used in up sampling.         -   e. In one example, unfiltered left neighboring samples may             be used in up sampling and filtered above neighboring             samples may be used in up sampling.         -   f. In one example, whether filter or unfiltered neighboring             samples is used may depend on the ALWIP mode.             -   i. In one example, ALWIP mode may be converted to                 traditional intra prediction mode, and whether filtered                 or unfiltered neighboring samples is used may depend on                 the converted traditional intra prediction mode. For                 example, such decision is same as traditional intra                 prediction modes.             -   ii. Alternatively, whether filter or unfiltered                 neighboring samples is used for ALWIP mode may be                 signaled.         -   g. In one example, the filtered samples may be generated             same as traditional intra prediction modes.     -   28. Which matrices or/and offset vectors are used may depend on         reshaping (a.k.a., LMCS, luma mapping with chroma scaling)         information.         -   a. In one example, different matrices or/and offset vectors             may be used when reshaping is on and off.         -   b. In one example, different matrices or/and offset vectors             may be used for different reshaping parameters.         -   c. In one example, ALWIP may be always performed in original             domain.             -   i. For example, neighboring sample are mapped to the                 original domain (if reshaping is applied) before used in                 ALWIP.     -   29. ALWIP may be disabled when reshaping is applied.         -   a. Alternatively, reshaping may be disabled when ALWIP is             enabled.         -   b. In one example, ALWIP may be disabled for high dynamic             range (HDR) content when reshaping is applied.     -   30. The matrices used in ALWIP may depend on sample bit-depth.         -   a. Alternatively, furthermore, the offset values used in             ALWIP may depend on sample bit-depth.         -   b. Alternatively, the matrix parameters and offset values             can be stored in M-bit precision for N-bit samples (M<=N),             e.g., the matrix parameters and offset values can be stored             in 8-bit precision for a 10-bit sample.         -   c. The sample bit-depth may be the bit-depth of input array             for a color component such as luma.         -   d. The sample bit-depth may be the bit-depth of internal             array/reconstructed sample for a color component, such as             luma.     -   31. The matrix parameters and/or offset values for a specified         block size may be derived from the matrix parameters and/or         offset values for other block sizes.     -   32. In one example, the 16×8 matrix of 8×8 block can be derived         from the 16×4 matrix of 4×4 block.     -   33. It is proposed that the prediction generated by ALWIP may be         treated as an intermedium signal which will be processed to         obtain the prediction signal to be further used.         -   a. In one example, Position Dependent Intra Prediction             Combination (PDPC) may be applied on the prediction             generated by ALWIP to generate the prediction signal to be             further used.             -   i. In one example, PDPC is done on an ALWIP coded block                 in the same way as the block is coded with a specific                 normal intra-prediction mode, such as Planar or DC.             -   ii. In one example, PDPC is done on an ALWIP coded block                 in the same way as the block coded with a normal                 intra-prediction mode which is converted from the ALWIP                 intra-prediction mode.             -   iii. In one example, PDPC is applied on an ALWIP coded                 block conditionally.                 -   1) For example, PDPC is applied on an ALWIP coded                     block only when PDPC is applied on the normal                     intra-prediction mode which is converted from the                     ALWIP intra-prediction mode.         -   b. In one example, the boundary samples prediction generated             by ALWIP may be filtered with neighbouring samples to             generate the prediction signal to be further used.             -   i. In one example, filtering on boundary samples is done                 on an ALWIP coded block in the same way as the block is                 coded with a specific normal intra-prediction mode, such                 as Planar or DC.             -   ii. In one example, filtering on boundary samples is                 done on an ALWIP coded block in the same way as the                 block coded with a normal intra-prediction mode which is                 converted from the ALWIP intra-prediction mode.             -   iii. In one example, filtering on boundary samples is                 applied on an ALWIP coded block conditionally.                 -   1) For example, filtering on boundary samples is                     applied on an ALWIP coded block only when filtering                     on boundary samples is applied on the normal                     intra-prediction mode which is converted from the                     ALWIP intra-prediction mode.     -   34. It is proposed that interpolation filters other than         bilinear interpolation filter may be used in the up-sampling         process of ALWIP.         -   a. In one example, 4-tap interpolation filters may be used             in the up-sampling process of ALWIP.             -   i. For example, the 4-tap interpolation filters in VVC                 used to do the motion compensation for chroma components                 may be used in the up-sampling process of ALWIP.             -   ii. For example, the 4-tap interpolation filters in VVC                 used to do angular intra-prediction may be used in the                 up-sampling process of ALWIP.             -   iii. For example, the 8-tap interpolation filters in VVC                 used to do the motion compensation for luma component                 may be used in the up-sampling process of ALWIP.     -   35. Samples within a block coded in ALWIP mode may be predicted         in different ways.         -   a. In one example, for a W*H block, prediction of a sW*sH             sub-block within it may be generated by applying sW*sH ALWIP             to it.             -   i. In one example, for a W*H block, prediction of its                 top-left W/2*H/2 block may be generated by applying                 W/2*H/2 ALWIP to it.             -   ii. In one example, for a W*H block, prediction of its                 left W/2*H block may be generated by applying W/2*H                 ALWIP to it.             -   iii. In one example, for a W*H block, prediction of its                 top W*H/2 block may be generated by applying W*H/2 ALWIP                 to it.             -   iv. In one example, the sW*sH sub-block may have                 available left or/and above neighboring samples.         -   b. In one example, how to decide the position of the             sub-block may depend on dimension of the block.             -   i. For example, when W>=H, prediction of its left W/2*H                 block may be generated by applying W/2*H ALWIP to it.             -   ii. For example, when H>=W, prediction of its top W*H/2                 block may be generated by applying W*H/2 ALWIP to it.             -   iii. For example, when W is equal to H, prediction of                 its top-left W/2*H/2 block may be generated by applying                 W/2*H/2 ALWIP to it.         -   c. In one example, furthermore, prediction of the remaining             samples (e.g., samples do not belong to the sW*sH sub-block)             may be generated by applying the W*H ALWIP.             -   i. Alternatively, prediction of the remaining samples                 may be generated by applying conventional intra                 prediction (e.g., using the converted intra prediction                 mode as the intra mode).             -   ii. Furthermore, calculation may be skipped for samples                 in the sW*sH sub-block.     -   36. Samples within a block coded in ALWIP mode may be predicted         in sub-block (e.g., with size sW*sH) level.         -   a. In one example, sW*sH ALWIP may be applied to each             sub-block using neighboring reconstructed samples (e.g., for             boundary sub-blocks) or/and neighboring predicted samples             (e.g., for inner sub-blocks).         -   b. In one example, sub-blocks may be predicted in             raster-scan order.         -   c. In one example, sub-blocks may be predicted in zigzag             order.         -   d. In one example, width (height) of sub-blocks may be no             larger than sWMax (sHMax).         -   e. In one example, when a block with either width or height             or both width and height are both larger than (or equal to)             a threshold L, the block may be split into multiple             sub-blocks.         -   f. The threshold L may be pre-defined or signaled in             SPS/PPS/picture/slice/tile group/tile level.             -   i. Alternatively, the thresholds may depend on certain                 coded information, such as block size, picture type,                 temporal layer index, etc. al.     -   37. It is proposed that the neighbouring samples (adjacent or         non-adjacent) are filtered before being used in ALWIP.         -   a. Alternatively, neighbouring samples are not filtered             before being used in ALWIP.         -   b. Alternatively, neighbouring samples are conditionally             filtered before being used in ALWIP.             -   i. For example, neighbouring samples are filtered before                 being used in ALWIP only when the ALWIP intra-prediction                 mode is equal to one or some specific values.     -   38. It is proposed that when coding the ALWIP flag, the method         to derive the context for the ALWIP flag in arithmetic coding is         the same for all dimensions of the current block.         -   a. In one example, the method to derive the context for the             ALWIP flag in arithmetic coding is the same when (Abs(Log             2(cbWidth)−Log 2(cbHeight)) is larger than 1 or not, where             CbWidth and CbHeight are the width and height of the current             block, respectively.         -   b. In one example, the derivation of the context for the             ALWIP flag in arithmetic coding only depends on neighboring             blocks' ALWIP information and/or the availability of the             neighbouring blocks.             -   i. In one example, multiple neighboring blocks ALWIP                 information (e.g., intra_lwip_flag) and/or the                 availability of the neighbouring blocks are directly                 used. For example, the left and above neighbouring                 blocks' ALWIP flags and/or the availability of the left                 and neighbouring blocks are used to derive the context                 for the ALWIP flag in arithmetic coding. An example is                 shown in Table 5. Alternatively, furthermore, the                 context index offset ctxInc=(condL && availableL)+(condA                 && availableA)+ctxSetldx*3.

TABLE 5 Specification of ctxInc using left and above syntax elements Syntax element condL condA ctxSetIdx intra_lwip_flag intra_lwip_flag intra_lwip_flag 0 [ x0 ][ y0 ] [ xNbL ][ yNbL ] [ xNbA ][ yNbA ]

-   -   -   -   ii. In one example, one of the neighboring block's ALWIP                 information (e.g., intra_lwip_flag) is used to derive                 the context for the ALWIP flag in arithmetic coding, and                 the neighbouring block may be the left neighbouring                 block. An example is shown in Table 6. Alternatively,                 furthermore, the context index offset ctxInc=(condL &&                 availableL)+ctxSetIdx*3.

TABLE 6 Specification of ctxInc using left and above syntax elements Syntax element condL condA ctxSetIdx intra_lwip_flag intra_lwip_flag 0 [ x0 ][ y0 ] [ xNbL ][ yNbL ]

-   -   -   -   iii. In one example, one of the neighboring block's                 ALWIP flag information (e.g., intra_lwip_flag) is used                 to derive the context for the ALWIP flag in arithmetic                 coding, and the neighbouring block may be the above                 neighbouring block. An example is shown in Table 7.                 Alternatively, furthermore, the context index offset                 ctxInc=(condA && availableA)+ctxSetIdx*3.

TABLE 7 Specification of ctxInc using left and above syntax elements Syntax element condL condA ctxSetIdx intra_lwip_flag intra_lwip_flag 0 [ x0 ][ y0 ] [ xNbA ][ yNbA ]

-   -   -   c. In one example, one fixed context is used for coding the             ALWIP flag in arithmetic coding.         -   d. In one example, ALWIP flag is bypass coded in arithmetic             coding.         -   e. Alternatively, K contexts may be used for coding ALWIP             flag in arithmetic coding. The context to be used may depend             on dimension (e.g., width denoted as W and height denoted             as H) of the block.             -   i. In one example, K is equal to 2. When W>N*H or H>N*W                 (e.g., N=2), the first context is used, otherwise, the                 second context is used.

    -   39. It is proposed that N (N>=0) contexts may be used to code         the ALWIP flag (e.g., intra_lwip_flag) in arithmetic coding.         -   a. In one example, N is equal to three. ALWIP flag and/or             availability of two neighboring or/and non-adjacent blocks             may be used for deriving the used context for the ALWIP flag             in arithmetic coding.             -   i. In one example, the two neighboring blocks may                 include the above (e.g., B1 in FIG. 10 ) block and the                 left (e.g., A1 in FIG. 10 ) block.             -   ii. In one example, the two neighboring blocks may                 include the above block and the below-left (e.g., A2 in                 FIG. 10 ) block.             -   iii. In one example, the two neighboring blocks may                 include the above block and the above-right (e.g., B2 in                 FIG. 10 ) block.             -   iv. In one example, the two neighboring blocks may                 include the above-right (e.g., B2 in FIG. 10 ) block and                 the left (e.g., A1 in FIG. 10 ) block.             -   v. In one example, the two neighboring blocks may                 include the above-right (e.g., B2 in FIG. 10 ) block and                 the below-left (e.g., A2 in FIG. 10 ) block.             -   vi. In one example, the two neighboring blocks may                 include the left block (e.g., A1 in FIG. 10 ) and the                 below-left (e.g., A2 in FIG. 10 ) block.             -   vii. In one example, the neighboring block may be                 defined differently from FIG. 10 . an example is                 described in FIG. 16 . The two neighboring blocks may                 include any two of the {above-right, above, above-left,                 left, below-left} blocks. E.g., The two neighboring                 blocks may include any two of the blocks in {B0, B1, B2,                 A0, A1}.         -   b. In one example, N is equal to two. ALWIP flag and/or             availability of one neighboring or/and non-adjacent block             may be used for deriving the used context for the ALWIP flag             in arithmetic coding.             -   i. In one example, the neighboring block may be anyone                 of the {above-right, above, above-left, left,                 below-left}. An example of the neighboring block is                 described in FIG. 10 .             -   ii. In one example, the neighboring block may be anyone                 of the {above-right, above, above-left, left,                 below-left} block. An example of the neighboring block                 is described in FIG. 16 .         -   c. In one example, one fixed context may be used for coding             ALWIP flag in arithmetic coding.         -   d. In one example, ALWIP flag may be bypass coded in             arithmetic coding. FIG. 16 shows an example of neighboring             blocks.

    -   40. It is proposed that the reduced boundary samples may be         generated without calculating the up-sampling boundary samples.         -   a. In one example, the reference samples located at the             upsampling boundary sample positions are directly used for             the prediction upsampling process.             -   i. In one example, the upsampling boundary samples may                 not be computed by averaging multiple adjacent reference                 samples.         -   b. In one example, the reduced boundary samples may be             directly calculated from reference samples and the             downscaling factor.             -   i. In one example, the downscaling factor may be                 computed by the transform block size and the downsampled                 boundary size.

    -   41. It is proposed that the reduced boundary samples used for         matrix multiplication may be generated in one stage.         -   a. In one example, they may be generated directly from             original reconstructed neighboring samples in one stage             (noted that VVC working draft (WD)5 uses a two-stage             down-sampling to generate ALWIP reduced boundary samples, as             described in section 2.2.1.5.4.4), wherein the original             reconstructed neighboring samples may be decoded neighboring             samples without further processing. E.g., the original             reconstructed neighboring samples may be used to generate             the angular inter-prediction samples.         -   b. In one example, the reduced boundary samples may be             generated from original reconstructed samples located at the             top neighboring rows and/or the left neighboring columns of             the current block.             -   i. For example, suppose N reduced boundary samples need                 to be generated from M original reconstructed samples                 neighboring (in a given order) the current block, then                 each K successive original reconstructed neighboring                 samples may be used to get one output reduced boundary                 sample.                 -   1) In one example, K=M/N.                 -    a. Alternatively, K=(M+N/2)/N.                 -   2) In one example, one output reduced boundary                     sample may be derived as the average of the K                     successive original reconstructed neighboring                     samples.                 -   3) In one example, one output reduced boundary                     sample may be derived as the weighted average of the                     K successive original reconstructed neighboring                     samples.         -   c. In one example, the left reduced boundary samples may be             generated from original reconstructed samples located at the             left neighboring columns of the current block, while the top             reduced samples may be generated from original reconstructed             samples located at the top neighboring rows of the current             block.             -   i. For examples, as depicted in FIG. 17 , four reduced                 boundary samples on the left boundary and top boundary,                 denoted as boundaryleft and boundary_(top),                 respectively, are generated by left/top original                 neighboring reconstructed samples (marked as gray grids                 neighboring to the 16×16 block in the figure) of the                 current 16×16 ALWIP block.         -   d. How to generate reduced boundary samples may depend on             the block dimensions/coded information (e.g., intra             prediction mode, transform types, etc.).         -   e. In one example, the above-mentioned method may be applied             to all sizes of ALWIP blocks which requires generating             reduced boundary samples (e.g., from 4×4 ALWIP blocks to             64×64 ALWIP blocks).         -   f. In one example, the generation process for the reduced             boundary samples for the left neighboring columns of the             current block and the top neighboring rows of the current             block may be conducted in different ways.             -   i. For example, for a 8×4 ALWIP block, the number of the                 pre-defined reduced boundary samples is 4 on the top and                 4 on the left, then the 8 neighboring samples located at                 the top row of the 8×4 ALWIP block is used to generate                 the 4 reduced boundary samples on the top, while the 4                 neighboring samples located at the left column of the                 8×4 ALWIP block is directly copied as the 4 reduced                 boundary samples on the left.

    -   42. It is proposed to use all or some of original reconstructed         neighboring samples (adjacent or non-adjacent to the current         block) in the up-sampling process to generate the final         prediction block from reduced prediction block.         -   a. In one example, original reconstructed neighboring             samples may be located at the top neighboring rows and/or             the left neighboring columns of the current block. An             example is shown in FIG. 18 , wherein a 64×64 final             prediction block is generated by up-sampling from an 8×8             reduced prediction block plus the original reconstructed             neighboring samples of the 64×64 block.             -   i. Alternatively, furthermore, the reduced boundary                 samples may be only used for matrix multiplication to                 get the reduced prediction block, but not used in the                 up-sampling process to generate the final prediction                 block. For example, K reduced boundary samples may be                 input into the matrix multiplication of ALWIP to produce                 a M×N reduced prediction block, but may not be used to                 generate the final prediction block in the up-sampling                 process. E.g., K=8 and M×N is 8×8.         -   b. In one example, selected original reconstructed             neighboring samples may be used in the up-sampling process             to generate the final prediction block from a reduced             prediction block.             -   i. For example, all original reconstructed neighboring                 samples left to the current block may be selected.             -   ii. For example, all original reconstructed neighboring                 samples above to the current block may be selected.             -   iii. For example, K of each M successive original                 reconstructed neighboring samples left to the current                 block may be selected. e.g., K=1, M=2/4/8.                 -   1) For example, the latter K original reconstructed                     neighboring samples of each M successive neighbors                     may be selected.                 -   2) For example, the first K original reconstructed                     neighboring samples of each M successive neighbors                     may be selected.             -   iv. For example, K of each M successive original                 reconstructed neighboring samples above to the current                 block may be selected. e.g., K=1, M=2/4/8.                 -   1) For example, the latter K original reconstructed                     neighboring samples of each M successive neighbors                     may be selected.                 -   2) For example, the first K original reconstructed                     neighboring samples of each M successive neighbors                     may be selected.             -   v. For example, the selection may depend on the block                 width and height. Assume blkW and blkH denote the width                 and height of an ALWIP block, respectively. And (blkX,                 blkY) represents the top-left position of the block.                 -   1) For example, if blkW is larger than or equal to                     blkH, then all original reconstructed neighboring                     samples left to the current block may be selected,                     and/or the number of the selected original                     reconstructed neighboring samples above to the                     current block, denoted by M, may depend on the blkW.                 -    a. In one example, the kth selected samples above                     to the current block may be at position                     (blkX+(k+1)*blkW/M−1, blkY−1), where k is from 0 to                     M−1.                 -    b. For example, if blkW<=8, then M=4.                 -    c. For example, if blkW>8, then M=8.                 -    d. Alternatively, no matter the relationship                     between blkW and blkH, all original reconstructed                     neighboring samples left to the current block may be                     selected, and/or M original reconstructed                     neighboring samples above to the current block may                     be selected, where in M is decided by above rules.                 -   2) For example, if blkW is less than blkH, then all                     original reconstructed neighboring samples above to                     the current block may be selected, and/or the number                     of the selected original reconstructed neighboring                     samples left to the current block, denoted by M, may                     depend on the blkH.                 -    a. In one example, the kth selected samples left to                     the current block may be at position (blkX−1,                     blkY+(k+1)*blkH/M−1), where k is from 0 to M−1.                 -    b. For example, if blkH<=8, then M=4.                 -    c. For example, if blkH>8, then M=8.                 -    d. Alternatively, no matter the relationship                     between blkW and blkH, all original reconstructed                     neighboring samples above to the current block may                     be selected, and/or M original reconstructed                     neighboring samples left to the current block may be                     selected, where in M is decided by above rules.         -   c. In one example, the neighboring samples used for ALWIP             up-sampling may be further modified (e.g., filtered, where             the filter may be a N-tap filter, such as N=2 or 3) before             being used to generate the final prediction block.             -   i. In one example, the neighboring samples filtering                 process may be adaptively applied according to the ALWIP                 mode.         -   d. How to generate the final prediction block (e.g., linear             interpolation) may depend on the block dimension/coded             information (e.g., intra prediction direction, transform             types, etc.).

    -   43. In one example, the samples may be with different precisions         in different filtering stages in the up-sampling process in         ALWIP. “Samples” may refer to prediction samples or any         intermedium samples before or after the up-sampling process.         -   a. In one example, samples are up-sampled along a first             dimension horizontally in a first filtering stage; then             samples are up-sampled along a second dimension vertically             in a second filtering stage in the up-sampling process in             ALWIP.             -   i. Alternatively, samples are up-sampled along a first                 dimension vertically in a first filtering stage; then                 samples are up-sampled along a second dimension                 horizontally in a second filtering stage in the                 up-sampling process in ALWIP.         -   b. In one example, the output up-sampling results without             right-shifting or division in the first filtering stage may             be used as the input samples to the second filtering stage.             -   i. In one example, the output up-sampling filtering                 results in the second filtering stage may be                 right-shifted by Shift1 or divided by Dem1 to derive the                 final up-sampled results.             -   ii. In one example, the output up-sampling filtering                 results in the first filtering stage may be                 right-shifted by Shift2 or divided by Dem2 to derive the                 final up-sampled results.                 -   1) In one example, Shift1=2×Shift2; Dern1=Dem2×Dem2.             -   iii. In one example, the samples, which are input to the                 second filtering stage but are not the output                 up-sampling results in the first filtering stage, may be                 left-shifted Shift3 or multiplied by Dem3 before being                 input to the second filtering stage.                 -   1) In one example, Shift3=Shift1; Dem3=Dem2.         -   c. In one example, the output up-sampling results in the             first filtering stage may be right-shifted by Shift1 or             divided by Dem1 before being used as the input samples to             the second filtering stage.             -   i. In one example, the output up-sampling filtering                 results in the second filtering stage may be                 right-shifted by Shift2 or divided by Dem2 to derive the                 final up-sampled results, where Shift2 may be not equal                 to Shift1, e.g., Shift2>Shift1; Dem2 may be not equal to                 Dem1, e.g., Dem2>Dem1.             -   ii. In one example, the output up-sampling filtering                 results in the first filtering stage may be                 right-shifted by Shift3 or divided by Dem3 to derive the                 final up-sampled results, where Shift3 may be equal to                 Shift1; Dem3 maybe not equal to Dem1.                 -   1) In one example, Shift3=Shift1+Shift2.             -   iii. In one example, the samples, which are input to the                 second filtering stage but are not the output                 up-sampling results in the first filtering stage, may be                 left-shifted or multiplied by a factor before being                 input to the second filtering stage.         -   d. In one example, the output up-sampling results in the             first filtering stage may be left-shifted by Shift1 or             multiplied by Dem1 before being used as the input samples to             the second filtering stage.             -   i. In one example, the output up-sampling filtering                 results in the second filtering stage may be                 right-shifted or divided by a factor to derive the final                 up-sampled results.             -   ii. In one example, the output up-sampling filtering                 results in the first filtering stage may be                 right-shifted or divided by a factor to derive the final                 up-sampled results.             -   iii. In one example, the samples, which are input to the                 second filtering stage but are not the output                 up-sampling results in the first filtering stage, may be                 left-shifted by Shift2 or multiplied by Dem2 before                 being input to the second filtering stage, where Shift2                 may be not equal to Shift1, e.g., Shift2>Shift1; Dem1                 may be not equal to Dem2, e.g., Dem2>Dem1.         -   e. In one example, the samples which are input to the first             filtering stage may be left-shifted by Shift1 or multiplied             by Dem1 before being used as the input samples to the first             filtering stage.             -   i. In one example, the output up-sampling filtering                 results in the second filtering stage may be                 right-shifted or divided by a factor to derive the final                 up-sampled results.             -   ii. In one example, the output up-sampling filtering                 results in the first filtering stage may be                 right-shifted or divided by a factor to derive the final                 up-sampled results.             -   iii. In one example, the samples, which are input to the                 second filtering stage but are not the output                 up-sampling results in the first filtering stage, may be                 left-shifted by Shift2 or multiplied by Dem2 before                 being input to the second filtering stage, where Shift2                 may be not equal to Shift1, e.g., Shift2>Shift1; Dem2                 may be not equal to Dem1, e.g., Dem2>Dem1.

    -   44. It is proposed that up-sampling in ALWIP may be performed in         a fixed order when both vertical up-sampling and horizontal         up-sampling are required.         -   a. In one example, horizontal up-sampling may be performed             firstly, and vertical up-sampling may be performed secondly.         -   b. In one example, vertical up-sampling may be performed             firstly, and horizontal up-sampling may be performed             secondly.

    -   45. In one example, the prediction samples in ALWIP before         up-sampling may be transposed according to the block dimensions.         -   a. In one example, a W*H block may be firstly transposed to             H*W block, then up-sampling may be applied.         -   b. Alternatively, furthermore, after the up-sampling             process, the up-sampled samples may be transposed in a             reversed way.

    -   46. It is proposed that alternative interpolation filters         instead of the bilinear filter may be used for up-sampling in         ALWIP.         -   a. In one example, (4-tap, 6-tap, 8-tap etc.) gaussian             filter may be used.         -   b. In one example, (4-tap, 6-tap, 8-tap etc.) cubic filter             may be used.         -   c. In one example, interpolation filters used in motion             compensation for chroma samples may be used.         -   d. In one example, interpolation filters (6-tap, 8-tap etc.)             used in motion compensation for luma samples may be used.         -   e. Which interpolation filter is used may depend on the             block dimensions.         -   f. Which interpolation filter is used may depend on the             up-sampling ratio.         -   g. Which interpolation filter is used may depend on the             prediction mode of ALWIP.         -   h. Which interpolation filter is used may depend on how many             samples are available for up-sampling.             -   i. For example, when there are 4 available samples                 (excluding the neighboring reference samples) in one row                 (or column), 4-tap interpolation filter may be used.             -   ii. For example, when there are 8 available samples                 (excluding the neighboring reference samples) in one row                 (or column), 4-tap or 8-tap interpolation filter may be                 used.

    -   47. It is proposed that the MPMs for a block coded with the         ALWIP mode may be constructed independently of the neighbouring         blocks.         -   a. In one example, the MPMs for a block coded with the ALWIP             mode are predefined.             -   i. For example, the predefined MPMs are {M0, M1, M2} for                 all block dimensions. E.g., M0=0, M1=1 and M2=2.             -   ii. For example, the predefined MPMs for a block coded                 with the ALWIP mode may depend on the block dimensions.                 E.g., the predefined MPMs for a block coded with the                 ALWIP mode may depend on sizeId as defined in section                 2.2.1.5.                 -   1) For example, MPMs are {17, 34, 5} in order when                     sizeId is equal to 0.                 -   2) For example, MPMs are {0, 7, 16} in order when                     sizeId is equal to 1.                 -   3) For example, MPMs are {1, 4, 6} in order when                     sizeId is equal to 2.             -   iii. For example, the predefined MPMs for a block coded                 with the ALWIP mode be fixed to be associated with the                 first K matrices.                 -   1) In one example, K=3.                 -   2) In one example, K may depend on block dimensions.

    -   48. It is proposed that unify the number of matrices utilized         for ALWIP regardless the block dimensions.         -   a. In one example, S matrices may be stored for all block             dimensions. E.g., S=11, or S=19, or S=35.         -   b. In one example, the ALWIP mode signaling is done in the             same way for all block dimensions.         -   c. Alternatively, furthermore, matrices may be different for             different block dimension.

5. Embodiments

Newly added parts are highlighted in bold faced italics and deleted parts are highlighted in underlined italicized text.

5.1 One Example

Three contexts are used for coding ALWIP flag.

TABLE 9-15 Assignment of ctxInc to syntax elements with context coded bins binIdx Sytnax element 0 1 2 3 4 >=5 . . . terminate na na na na na intra_lwip_flag[ ][ ] (Abs( Log2(cbWid na na na na na th) − Log2(cbHeight) ) > 1) ? 3 : ( 0,1,2 (clause 9.5.4.2.2) ) intra_lwip_flag[ ][ ] (0,1,2 na na na na na (clause 9.5.4.2.2) ) intra_lwip_mpm_flag 0 na na na na na [ ][ ] intra_lwip_mpm_idx bypass bypass na na na na [ ][ ] intra_lwip_mpm_rem bypass bypass bypass bypass bypass na ainder[ ][ ]

5.2 One Example

One fixed context is used for coding ALWIP flag.

TABLE 9-15 Assignment of ctxInc to syntax elements with context coded bins binIdx Syntax element 0 1 2 3 4 >=5 . . . terminate na na na na na intra_lwip_flag[ ][ ] (Abs( Log2(cbWid na na na na na th) − Log2(cbHeight) ) > 1) ? 3 : ( 0,1,2 (clause 9.5.4.2.2) ) intra_lwip_ flag[ ][ ] 0 na na na na na intra_lwip_mpm_flag[ 0 na na na na na ][ ] intra_lwip_mpm_idx[ bypass bypass na na na na ][ ] intra_lwip_mpm_rem bypass bypass bypass bypass bypass na ainder[ ][ ]

5.3 One Example

Perform the boundary reduction process in one-step. Below embodiments are based on the adopted JVET-N0220-proposal-test-CE3-4.1_v2.

8.4.4.2.X1 Affine Linear Weighted Intra Sample Prediction 8.4.4.2.X3 Specification of the Boundary Reduction Process

Inputs to this process are:

-   -   a variable nTbX specifying the transform block size,     -   reference samples refX[x] with x=0..nTbX−1,     -   a variable boundarySize specifying the downsampled boundary         size,     -   a flag needUpsBdryX specifying whether intermediate boundary         samples are required for upsampling,     -   a variable upsBdrySize specifying the boundary size for         upsampling.         Outputs of this process are the reduced boundary samples redX[x]         with x=0..boundarySize−1 and upsampling boundary samples         upsBdryX[x] with x=0..upsBdrySize−1.         The upsampling boundary samples upsBdryX[x] with         x=0..upsBdrySize−1 are derived as follows:     -   If needUpsBdryX is equal to TRUE and upsBdrySize is less than         nTbX, the following applies:

uDwn=nTbX/upsBdrySize  (8-X30)

upsBdryX[x]=refX[x*uDwn]

upsBdryX[x]=(Σ_(i=0) ^(uDwn−1)refX[x*uDwn+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn)  (8-X31)

-   -   Otherwise (upsBdrySize is equal to nTbX), upsBdryX[x] is set         equal to refX[x].         The reduced boundary samples redX[x] with x=0..boundarySize−1         are derived as follows:     -   If boundarySize is less than upsBdrySize nTbX, the following         applies:

bDwn=upsBdrySize nTbX/boundarySize  (8-X32)

redX[x]=(Σ_(i=0) ^(bDwn−1)upsBdryXrefX[x*bDwn+i]+(1<<(Log 2(bDwn)−1)))>>Log 2(bDwn)  (8-X33)

-   -   -   The term upsBdryX in Equation 8-X33 is deleted.

    -   Otherwise (boundarySize is equal to upsBdrySize nTbX), redX[x]         is set equal to upsBdryX[x] refX[x].

5.4 One Example

Derive prediction samples with different precisions in different filtering stages in the up-sampling process in ALWIP. Below embodiments are based on the adopted JVET-N0217-proposal-test-CE3-4.1_v2. 8.4.4.2.X4 Specification of the Prediction Upsampling Process Inputs to this process are:

-   -   a variable predW specifying the input block width,     -   a variable predH specifying the input block height,     -   affine linear weighted samples predLwip[x][y], with         x=0..predW−1, y=0..predH−1,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height,     -   a variable upsBdryW specifying the upsampling boundary width,     -   a variable upsBdryH specifying the upsampling boundary height,     -   top upsampling boundary samples upsBdryT[x] with         x=0..upsBdryW−1,     -   left upsampling boundary samples upsBdryL[x] with         x=0..upsBdryH−1.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The sparse predicted samples predSamples[m][n] are derived from         predLwip[x][y], with x=0..predW−1, y=0..predH−1 as follows:

upHor=nTbW/predW  (8-X34)

upVer=nTbH/predH  (8-X35)

predSamples[(x+1)*upHor−1][(y+1)*upVer−1]=predLwip[x][y]  (8-X36)

The top boundary samples upsBdryT[x] with x=0..upsBdryW−1 are assigned to predSamples[m][−1] as follows:

predSamples[(x+1)*(nTbW/upsBdryW)−1][−1]=upsBdryT[x]  (8-X37)

The left boundary samples upsBdryL[y] with y=0..upsBdryH−1 are assigned to predSamples[−1][n] as follows:

predSamples[−1][(y+1)*(nTbH/upsBdryH)−1]=upsBdryL[y]  (8-X38)

The predicted samples predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1 are derived as follows:

-   -   If nTbH is greater than nTbW, the following ordered steps apply:         -   1. When upHor is greater than 1, horizontal upsampling for             all sparse positions (xHor, yHor)=(m*upHor−1, n*upVer−1)             with m=0..predW−1, n=1..predH is applied with dX=1..upHor−1             as follows:

predSamples[xHor+dX][yHor]=((upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor])/upHor  (8-X39)

-   -   -   2. Vertical upsampling for all sparse positions (xVer,             yVer)=(m, n*upVer−1) with m=0..nTbW−1, n=0..predH−1 is             applied with dY=1..upVer−1 as follows:

If yVer is equal to −1,predSamples[xVer][yVer]=predSamples[xVer][yVer]<<log 2(upHor)

predSamples[xVer][yVer+dY]=((upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer])/upVer+(1<<(log 2(upHor)+log 2(upVer)−1)))>>(log 2(upHor)+log 2(upVer))  (8-X40)

-   -   Otherwise, the following ordered steps apply:         -   1. When upVer is greater than 1, vertical upsampling for all             sparse positions (xVer, yVer)=(m*upHor−1, n*upVer−1) with             m=1..predW, n=0..predH−1 is applied with dY=1..upVer−1 as             specified in (8-X40) (8-X41).

predSamples[xVer][yVer+dY]=((upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer])  (8-X41)

-   -   -   2. Horizontal upsampling for all sparse positions (xHor,             yHor)=(m*upHor−1, n) with m=0..predW−1, n=0..nTbH−1 is             applied with dX=1..upHor−1 as specified in (8-X39) as             follows.

If xHor is equal to −1,predSamples[xHor][yHor]=predSamples[xHor][yHor]<<log 2(upVer)

predSamples[xHor+dX][yHor]=((upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]+(1<<(log 2(upHor)+log 2(upVer)−1)))>>(log 2(upHor)+log 2(upVer))  (8-X42)

5.5 Examples Corresponding to Bullet 40

Suppose the block dimensions are W×H. Samples P(x, y) with x=Sx, Sx+Kx, Sx+2Kx, Sx+3Kx, . . . , y=Sy, Sy+Ky, Sy+2Ky, Sy+3Ky . . . are input to the up-sampling process to derive the up-sampled samples S(x, y) with x=0,1,2 . . . W−1, y=0, 1, 2, . . . H−1. Kx and Ky are step sizes along the horizontal and vertical directions respectively. (Sx, Sy) is the starting position. Suppose 1-D up-sampling is done horizontally in the first stage and 1-D up-sampling is done vertically in the second stage. In one example, the output results in the first stage without right-shifting may be derived as

S′(Sx+Kx−1,Sy)=F1*P(Sx,Sy)+F2*P(Sx+Kx,Sy).

S′(Sx+Kx−1,Sy+Ky)=F1*P(Sx,Sy+Ky)+F2*P(Sx+Kx,Sy+Ky).

F1, F2 are coefficients for a 2-tap filter and F1+F2=2^(N). Then an output result in the second stage may be derived as

S′(Sx+Kx−1,Sy+1)=F3*S′(Sx+Kx−1,Sy)+F4*S′(Sx+Kx−1,Sy+Ky).

F3, F4 are coefficients for a 2-tap filter and F3+F4=2^(N). Then the final up-sampled sample value may be derived as:

S(Sx+Kx−1,Sy+1)=Shift(S′(Sx+Kx−1,Sy+1),2N);

S(Sx+Kx−1,Sy)=Shift(S′(Sx+Kx−1,Sy),N);

S(Sx+Kx−1,Sy+Ky)=Shift(S′(Sx+Kx−1,Sy+Ky),N);

5.6 One Example

Derive the reduced boundary samples in one stage and generate the reference buffer for up-sampling. Below embodiments are based on the adopted JVET-N0217-proposal-test-CE3-4.1_v2.

8.4.4.2.X1 Affine Linear Weighted Intra Sample Prediction 8.4.4.2.X3 Specification of the Boundary Reduction Process

The upsampling boundary samples upsBdryX[x] with x=0..upsBdrySize−1 are derived as follows:

-   -   If needUpsBdryX is equal to TRUE and upsBdrySize is less than         nTbX, the following applies:

uDwn=nTbX/upsBdrySize  (8-X30)

upsBdryX[x]=(Σ_(i=0) ^(uDwn−1)refX[x*uDwn+i]+(1<<(Log 2(uDwn)−1)))>>Log 2(uDwn)  (8-X31)

upsBdryX[x]=refX[(x+1)*uDwn−1]

-   -   Otherwise (upsBdrySize is equal to nTbX), upsBdryX[x] is set         equal to refX[x].         The reduced boundary samples redX[x] with x=0..boundarySize−1         are derived as follows:     -   If boundarySize is less than upsBdrySize nTbX, the following         applies:

bDwn=upsBdrySize nTbX/boundarySize  (8-X32)

redX[x]=(Σ_(i=0) ^(bDwn−1)upsBdryXrefX[x*bDwn+i]+(1<<(Log 2(bDwn)−1)))>>Log 2(bDwn)  (8-X33)

-   -   -   The term upsBdryX in Equation 8-X33 is deleted.

    -   Otherwise (boundarySize is equal to upsBdrySize nTbX), redX[x]         is set equal to upsBdryX refX [x].

5.7 One Example

Examples for fixed order up-sampling in ALWIP (a.k.a, matrix-based intra prediction, or MIP) is present here. The text is based on JVET-N1001-v6. 5.7.1 First Horizontal Up-Sampling, then Vertical Up-Sampling

8.4.5.2.1 Matrix-Based Intra Sample Prediction

Inputs to this process are:

-   -   a sample location (xTbCmp, yTbCmp) specifying the top-left         sample of the current transform block relative to the top-left         sample of the current picture,     -   a variable predModeIntra specifying the intra prediction mode,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         Variables numModes, boundarySize, predW, predH and predC are         derived using MipSizeId[xTbCmp][yTbCmp] as specified in Table         8-7.

TABLE 8-7 Specification of number of prediction modes numModes, boundary size boundarySize, and prediction sizes predW, predH and predC using MipSizeId MipSizeId numModes boundarySize predW predH predC 0 35 2 4 4 4 1 19 4 4 4 4 2 11 4 Min Min 8 ( nTbW, 8 ) ( nTbH, 8 ) The flag isTransposed is derived as follows:

isTransposed=(predModeIntra>(numModes/2))?TRUE:FALSE  (8-56)

The flags needUpsBdryHor and needUpsBdryVer are derived as follows:

needUpsBdryHor=(nTbW>predW)?TRUE:FALSE  (8-57)

needUpsBdryVer=(nTbH>predH)?TRUE:FALSE  (8-58)

The variables upsBdryW and upsBdryH are derived as follows:

upsBdryW=(nTbH>nTbW)?nTbW:predW  (8-59)

upsBdryH=(nTbH>nTbW)?predH:nTbH  (8-60)

upsBdryW=nTbW  (8-59)

upsBdryH=predH  (8-60)

The variables mipW and mipH are derived as follows:

mipW=isTransposed?predH:predW  (8-61)

mipH=isTransposed?predW:predH  (8-62)

For the generation of the reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, the MIP reference sample derivation process as specified in clause 8.4.5.2.2 is invoked with the sample location (xTbCmp, yTbCmp), the transform block width nTbW, the transform block height nTbH as inputs, and top and left reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, respectively, as outputs. For the generation of the boundary samples p[x] with x=0..2*boundarySize−1, the following applies:

-   -   The MIP boundary downsampling process as specified in clause         8.4.5.2.3 is invoked for the top reference samples with the         block size nTbW, the reference samples refT[x] with x=0..nTbW−1,         the boundary size boundarySize, the upsampling boundary flag         needUpsBdryHor, and the upsampling boundary size upsBdryW as         inputs, and reduced boundary samples redT[x] with         x=0..boundarySize−1 and upsampling boundary samples upsBdryT[x]         with x=0..upsBdryW−1 as outputs.     -   The MIP boundary downsampling process as specified in clause         8.4.5.2.3 is invoked for the left reference samples with the         block size nTbH, the reference samples refL[y] with y=0..nTbH−1,         the boundary size boundarySize, the upsampling boundary flag         needUpsBdryVer, and the upsampling boundary size upsBdryH as         inputs, and reduced boundary samples redL[x] with         x=0..boundarySize−1 and upsampling boundary samples upsBdryL[x]         with x=0..upsBdryH−1 as outputs.     -   The reduced top and left boundary samples redT and redL are         assigned to the boundary sample array p as follows:         -   If isTransposed is equal to 1, p[x] is set equal to redL[x]             with x=0..boundarySize−1 and p[x+boundarySize] is set equal             to redT[x] with x=0..boundarySize−1.         -   Otherwise, p[x] is set equal to redT[x] with             x=0..boundarySize−1 and p[x+boundarySize] is set equal to             redL[x] with x=0..boundarySize−1.             For the intra sample prediction process according to             predModeIntra, the following ordered steps apply:     -   3. The matrix-based intra prediction samples predMip[x][y], with         x=0 mipW−1, y=0..mipH−1 are derived as follows:         -   The variable modeId is derived as follows:

modeId=predModeIntra−(isTransposed?numModes/2:0)  (8-63)

-   -   -   The weight matrix mWeight[x][y] with x=0..2*boundarySize−1,             y=0..predC*predC−1 is derived using             MipSizeId[xTbCmp][yTbCmp] and modeId as specified in Table             8-XX [Ed. (BB): add weight matrices once a non-10-bit weight             solution is adopted].         -   The bias vector vBias[y] with y=0..predC*predC−1 is derived             using sizeId and modeId as specified in Table 8-XX [Ed.             (BB): add bias vectors once a non-10-bit weight solution is             adopted].         -   The variable sW is derived using MipSizeId[xTbCmp][yTbCmp]             and modeId as specified in Table 8-8.         -   The matrix-based intra prediction samples predMip[x][y],             with x=0..mipW−1, y=0..mipH−1 are derived as follows:

oW=1<<(sW−1)  (8-64)

sB=BitDepth_(Y)−1  (8-65)

incW=(predC>mipW)?2:1  (8-66)

incH=(predC>mipH)?2:1  (8-67)

predMip[x][y]=((Σ_(i=0) ^(2*boundarySize−1)mWeight[i][y*incH*predC+x*incW]*p[i])+(vBias[y*incH*predC+x*incW]<<sB)+oW)>>sW  (8-68)

-   -   4. When isTransposed is equal to TRUE, the predH×predW array         predMip[x][y] with x=0..predH−1, y=0..predW−1 is transposed as         follows:

predTemp[y][x]=predMip[x][y]  (8-69)

predMip=predTemp  (8-70)

-   -   5. The predicted samples predSamples[x][y], with x=0..nTbW−1,         y=0..nTbH−1 are derived as follows:         -   If needUpsBdryVer is equal to TRUE or needUpsBdryHor is             equal to TRUE, the MIP prediction upsampling process as             specified in clause 8.4.5.2.4 is invoked with the input             block width predW, the input block height predH,             matrix-based intra prediction samples predMip[x][y] with             x=0..predW−1, y=0..predH−1, the transform block width nTbW,             the transform block height nTbH, the upsampling boundary             width upsBdryW, the upsampling boundary height upsBdryH, the             top upsampling boundary samples upsBdryT, and the left             upsampling boundary samples upsBdryL as inputs, and the             output is the predicted sample array predSamples.         -   Otherwise, predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1             is set equal to predMip[x][y].     -   6. The predicted samples predSamples[x][y] with x=0..nTbW−1,         y=0..nTbH−1 are clipped as follows:

predSamples[x][y]=Clip1_(Y)(predSamples[x][y])  (8-71)

TABLE 8-8 Specification of weight shift sW depending on MipSizeId and modeId modeId MipSizeId 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 0 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 8 8 8 9 8 8 8 8 9 8 2 8 8 8 8 8 8

8.4.5.2.4 MIP Prediction Upsampling Process

Inputs to this process are:

-   -   a variable predW specifying the input block width,     -   a variable predH specifying the input block height,     -   matrix-based intra prediction samples predMip[x][y], with         x=0..predW−1, y=0..predH−1,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height,     -   a variable upsBdryW specifying the upsampling boundary width,     -   a variable upsBdryH specifying the upsampling boundary height,     -   top upsampling boundary samples upsBdryT[x] with         x=0..upsBdryW−1,     -   left upsampling boundary samples upsBdryL[x] with         x=0..upsBdryH−1.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The sparse predicted samples predSamples[m][n] are derived from         predMip[x][y], with x=0..predW−1, y=0..predH−1 as follows:

upHor=nTbW/predW  (8-78)

upVer=nTbH/predH  (8-79)

predSamples[(x+1)*upHor−1][(y+1)*upVer−1]=predMip[x][y]  (8-80)

The top boundary samples upsBdryT[x] with x=0..upsBdryW−1 are assigned to predSamples[m][−1] as follows:

predSamples[(x+1)*(nTbW/upsBdryW)−1][−1]=upsBdryT[x]  (8-81)

The left boundary samples upsBdrL[y] with y=0..upsBdryH−1 are assigned to predSamples[−1][n] as follows:

predSamples[−1][(y+1)*(nTbH/upsBdryH)−1]=upsBdryL[y]  (8-82)

The predicted samples predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1 are derived as follows:

-   -   If nTbH is greater than nTbW, the following ordered steps apply:         -   1. When upHor is greater than 1, horizontal upsampling for             all sparse positions (xHor, yHor)=(m*upHor−1, n*upVer−1)             with m=0..predW−1, n=1..predH is applied with dX=1..upHor−1             as follows:

sum=(upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]  (8-83)

predSamples[xHor+dX][yHor]=(sum+upHor/2−(sum<0?1:0))/upHor  (8-84)

-   -   -   2. Vertical upsampling for all sparse positions (xVer,             yVer)=(m, n*upVer−1) with m=0..nTbW−1, n=0..predH−1 is             applied with dY=1..upVer−1 as follows:

sum=(upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer]  (8-85)

predSamples[xVer][yVer+dY]=(sum+upVer/2−(sum<0?1:0))/upVer  (8-86)

-   -   Otherwise, the following ordered steps apply:         -   1. When upVer is greater than 1, vertical upsampling for all             sparse positions (xVer, yVer)=(m*upHor−1, n*upVer−1) with             m=1..predW, n=0..predH−1 is applied with dY=1..upVer−1 as             follows:

sum=(upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer]  (8-87)

predSamples[xVer][yVer+dY]=(sum+upVer/2−(sum<0?1:0))/upVer  (8-88)

-   -   -   2. Horizontal upsampling for all sparse positions (xHor,             yHor)=(m*upHor−1, n) with m=0..predW−1, n=0..nTbH−1 is             applied with dX=1..upHor−1 as follows:

sum=(upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]  (8-89)

predSamples[xHor+dX][yHor]=(sum+upHor/2−(sum<0?1:0))/upHor  (8-90)

5.7.2 First Vertical Up-Sampling, then Horizontal Up-Sampling

8.4.5.2.1 Matrix-Based Intra Sample Prediction

Inputs to this process are:

-   -   a sample location (xTbCmp, yTbCmp) specifying the top-left         sample of the current transform block relative to the top-left         sample of the current picture,     -   a variable predModeIntra specifying the intra prediction mode,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         Variables numModes, boundarySize, predW, predH and predC are         derived using MipSizeId[xTbCmp][yTbCmp] as specified in Table         8-7.

TABLE 8-7 Specification of number of prediction modes numModes, boundary size boundarySize, and prediction sizes predW, predH and predC using MipSizeId MipSizeId numModes boundarySize predW predH predC 0 35 2 4 4 4 1 19 4 4 4 4 2 11 4 Min Min 8 ( nTbW, 8 ) ( nTbH, 8 ) The flag isTransposed is derived as follows:

isTransposed=(predModeIntra>(numModes/2))?TRUE:FALSE  (8-56)

The flags needUpsBdryHor and needUpsBdryVer are derived as follows:

needUpsBdryHor=(nTbW>predW)?TRUE:FALSE  (8-57)

needUpsBdryVer=(nTbH>predH)?TRUE:FALSE  (8-58)

The variables upsBdryW and upsBdryH are derived as follows:

upsBdryW=(nTbH>nTbW)?nTbW:predW  (8-59)

upsBdryH=(nTbH>nTbW)?predH:nTbH  (8-60)

upsBdryW=predW  (8-59)

upsBdryH=nTbH  (8-60)

The variables mipW and mipH are derived as follows:

mipW=isTransposed?predH:predW  (8-61)

mipH=isTransposed?predW:predH  (8-62)

For the generation of the reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, the MIP reference sample derivation process as specified in clause 8.4.5.2.2 is invoked with the sample location (xTbCmp, yTbCmp), the transform block width nTbW, the transform block height nTbH as inputs, and top and left reference samples refT[x] with x=0..nTbW−1 and refL[y] with y=0..nTbH−1, respectively, as outputs. For the generation of the boundary samples p[x] with x=0..2*boundarySize−1, the following applies:

-   -   The MIP boundary downsampling process as specified in clause         8.4.5.2.3 is invoked for the top reference samples with the         block size nTbW, the reference samples refT[x] with x=0..nTbW−1,         the boundary size boundarySize, the upsampling boundary flag         needUpsBdryHor, and the upsampling boundary size upsBdryW as         inputs, and reduced boundary samples redT[x] with         x=0..boundarySize−1 and upsampling boundary samples upsBdryT[x]         with x=0..upsBdryW−1 as outputs.     -   The MIP boundary downsampling process as specified in clause         8.4.5.2.3 is invoked for the left reference samples with the         block size nTbH, the reference samples refL[y] with y=0..nTbH−1,         the boundary size boundarySize, the upsampling boundary flag         needUpsBdryVer, and the upsampling boundary size upsBdryH as         inputs, and reduced boundary samples redL[x] with         x=0..boundarySize−1 and upsampling boundary samples upsBdryL[x]         with x=0..upsBdryH−1 as outputs.     -   The reduced top and left boundary samples redT and redL are         assigned to the boundary sample array p as follows:         -   If isTransposed is equal to 1, p[x] is set equal to redL[x]             with x=0..boundarySize−1 and p[x+boundarySize] is set equal             to redT[x] with x=0..boundarySize−1.         -   Otherwise, p[x] is set equal to redT[x] with             x=0..boundarySize−1 and p[x+boundarySize] is set equal to             redL[x] with x=0..boundarySize−1.             For the intra sample prediction process according to             predModeIntra, the following ordered steps apply:     -   7. The matrix-based intra prediction samples predMip[x][y], with         x=0 mipW−1, y=0..mipH−1 are derived as follows:         -   The variable modeId is derived as follows:

modeId=predModeIntra−(isTransposed?numModes/2:0)  (8-63)

-   -   -   The weight matrix mWeight[x][y] with x=0..2*boundarySize−1,             y=0..predC*predC−1 is derived using             MipSizeId[xTbCmp][yTbCmp] and modeId as specified in Table             8-XX [Ed. (BB): add weight matrices once a non-10-bit weight             solution is adopted].         -   The bias vector vBias[y] with y=0..predC*predC−1 is derived             using sizeId and modeId as specified in Table 8-XX [Ed.             (BB): add bias vectors once a non-10-bit weight solution is             adopted].         -   The variable sW is derived using MipSizeId[xTbCmp][yTbCmp]             and modeId as specified in Table 8-8.         -   The matrix-based intra prediction samples predMip[x][y],             with x=0..mipW−1, y=0..mipH−1 are derived as follows:

oW=1<<(sW−1)  (8-64)

sB=BitDepth_(Y)−1  (8-65)

incW=(predC>mipW)?2:1  (8-66)

incH=(predC>mipH)?2:1  (8-67)

predMip[x][y]=((Σ_(i=0) ^(2*boundarySize−1)mWeight[i][y*incH*predC+x*incW]*p[i])+(vBias[y*incH*predC+x*incW]<<sB)+oW)>>sW  (8-68)

-   -   8. When isTransposed is equal to TRUE, the predH×predW array         predMip[x][y] with x=0..predH−1, y=0..predW−1 is transposed as         follows:

predTemp[y][x]=predMip[x][y]  (8-69)

predMip=predTemp  (8-70)

-   -   9. The predicted samples predSamples[x][y], with x=0..nTbW−1,         y=0..nTbH−1 are derived as follows:         -   If needUpsBdryVer is equal to TRUE or needUpsBdryHor is             equal to TRUE, the MIP prediction upsampling process as             specified in clause 8.4.5.2.4 is invoked with the input             block width predW, the input block height predH,             matrix-based intra prediction samples predMip[x][y] with             x=0..predW−1, y=0..predH−1, the transform block width nTbW,             the transform block height nTbH, the upsampling boundary             width upsBdryW, the upsampling boundary height upsBdryH, the             top upsampling boundary samples upsBdryT, and the left             upsampling boundary samples upsBdryL as inputs, and the             output is the predicted sample array predSamples.         -   Otherwise, predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1             is set equal to predMip[x][y].     -   10. The predicted samples predSamples[x][y] with x=0..nTbW−1,         y=0..nTbH−1 are clipped as follows:

predSamples[x][y]=Clip1_(Y)(predSamples[x][y])  (8-71)

TABLE 8-8 Specification of weight shift sW depending on MipSizeId and modeId modeId MipSizeId 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 0 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 8 8 8 9 8 8 8 8 9 8 2 8 8 8 8 8 8

8.4.5.2.4 MIP Prediction Upsampling Process

Inputs to this process are:

-   -   a variable predW specifying the input block width,     -   a variable predH specifying the input block height,     -   matrix-based intra prediction samples predMip[x][y], with         x=0..predW−1, y=0..predH−1,     -   a variable nTbW specifying the transform block width,     -   a variable nTbH specifying the transform block height,     -   a variable upsBdryW specifying the upsampling boundary width,     -   a variable upsBdryH specifying the upsampling boundary height,     -   top upsampling boundary samples upsBdryT[x] with         x=0..upsBdryW−1,     -   left upsampling boundary samples upsBdryL[x] with         x=0..upsBdryH−1.         Outputs of this process are the predicted samples         predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1.         The sparse predicted samples predSamples[m][n] are derived from         predMip[x][y], with x=0..predW−1, y=0..predH−1 as follows:

upHor=nTbW/predW  (8-78)

upVer=nTbH/predH  (8-79)

predSamples[(x+1)*upHor−1][(y+1)*upVer−1]=predMip[x][y]  (8-80)

The top boundary samples upsBdryT[x] with x=0..upsBdryW−1 are assigned to predSamples[m][−1] as follows:

predSamples[(x+1)*(nTbW/upsBdryW)−1][−1]=upsBdryT[x]  (8-81)

The left boundary samples upsBdryL[y] with y=0..upsBdryH−1 are assigned to predSamples[−1][n] as follows:

predSamples[−1][(y+1)*(nTbH/upsBdryH)−1]=upsBdryL[y]  (8-82)

The predicted samples predSamples[x][y], with x=0..nTbW−1, y=0..nTbH−1 are derived as follows:

-   -   If nTbH is greater than nTbW, the following ordered steps apply:         -   1. When upHor is greater than 1, horizontal upsampling for             all sparse positions (xHor, yHor)=(m*upHor−1, n*upVer−1)             with m=0..predW−1, n=1..predH is applied with dX=1..upHor−1             as follows:

sum=(upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]  (8-83)

predSamples[xHor+dX][yHor]=(sum+upHor/2−(sum<0?1:0))/upHor  (8-84)

-   -   -   2. Vertical upsampling for all sparse positions (xVer,             yVer)=(m, n*upVer−1) with m=0..nTbW−1, n=0..predH−1 is             applied with dY=1..upVer−1 as follows:

sum=(upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer]  (8-85)

predSamples[xVer][yVer+dY]=(sum+upVer/2−(sum<0?1:0))/upVer  (8-86)

-   -   Otherwise, the following ordered steps apply:         -   1. When upVer is greater than 1, vertical upsampling for all             sparse positions (xVer, yVer)=(m*upHor−1, n*upVer−1) with             m=1..predW, n=0..predH−1 is applied with dY=1..upVer−1 as             follows:

sum=(upVer−dY)*predSamples[xVer][yVer]+dY*predSamples[xVer][yVer+upVer]  (8-87)

predSamples[xVer][yVer+dY]=(sum+upVer/2−(sum<0?1:0))/upVer  (8-88)

-   -   -   2. Horizontal upsampling for all sparse positions (xHor,             yHor)=(m*upHor−1, n) with m=0..predW−1, n=0..nTbH−1 is             applied with dX=1..upHor−1 as follows:

sum=(upHor−dX)*predSamples[xHor][yHor]+dX*predSamples[xHor+upHor][yHor]  (8-89)

predSamples[xHor+dX][yHor]=(sum+upHor/2−(sum<0?1:0))/upHor  (8-90)

5.8 an Exemplary Working Draft Based on JVET-N1001-v7 for MPM Coding 8.4.2 Derivation Process for MIP Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current luma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples. In this process, the matrix-based intra         prediction mode IntraPredModeY[xCb][yCb] is derived.         IntraPredModeY[xCb][yCb] is derived by the following ordered         steps:     -   5. The neighbouring locations (xNbA, yNbA) and (xNbB, yNbB) are         set equal to (xCb−1, yCb) and (xCb, yCb−1), respectively.     -   6. For X being replaced by either A or B, the variables         candMipModeX are derived as follows:         -   The availability derivation process for a block as specified             in clause 6.4.X [Ed. (BB): Neighbouring blocks availability             checking process tbd] is invoked with the location (xCurr,             yCurr) set equal to (xCb, yCb) and the neighbouring location             (xNbY, yNbY) set equal to (xNbX, yNbX) as inputs, and the             output is assigned to availableX.         -   The candidate MIP mode candMipModeX is derived as follows:             -   If one or more of the following conditions are true,                 candMipModeX is set equal to −1.                 -   The variable availableX is equal to FALSE.                 -   CuPredMode[xNbX][yNbX] is not equal to MODE_INTRA                     and ciip_flag[xNbX][yNbX] is not equal to 1.                 -   pcm_flag[xNbX][yNbX] is equal to 1.                 -   X is equal to B and yCb−1 is less than ((yCb>>CtbLog                     2SizeY)<<CtbLog 2SizeY).             -   Otherwise, the following applies:                 -   If intra_mip_flag[xNbX][yNbX] is equal to 1, the                     following applies:                 -    If MipSizeId[xCb][yCb] is equal to                     MipSizeId[xNbX][yNbX], candMipModeX is set equal to                     IntraPredModeY[xNbX][yNbX].                 -    Otherwise, candMipModeX is set equal to −1.                 -   Otherwise, candMipModeX is derived using                     IntraPredModeY[xNbX][yNbX] and MipSizeId[xCb][yCb]                     as specified in Table 8-4.     -   7. The candMipModeList[x] with x=0..2 is derived as follows,         using mipMpmCand[sizeId] as specified in Table 8-2:         -   If candMipModeA and candMipModeB are both equal to −1, the             following applies:

candMipModeList[0]=mipMpmCand[sizeId][0]  (8-10)

candMipModeList[1]=mipMpmCand[sizeId][1]  (8-11)

candMipModeList[2]=mipMpmCand[sizeId][2]  (8-12)

-   -   -   Otherwise, the following applies:             -   If candMipModeA is equal to candMipModeB or if either                 candMipModeA or candMipModeB is equal to −1, the                 following applies:

candMipModeList[0]=(candMipModeA!=−1)?candMipModeA:candMipModeB  (8-13)

-   -   -   -   If candMipModeList[0] is equal to mipMpmCand[sizeId][0],                 the following applies:

candMipModeList[1]=mipMpmCand[sizeId][1]  (8-14)

candMipModeList[2]=mipMpmCand[sizeId][2]  (8-15)

-   -   -   -   Otherwise, the following applies:

candMipModeList[1]=mipMpmCand[sizeId][0]  (8-16)

candMipModeList[2]=(candMipModeList[0]!=mipMpmCand[sizeId][1])!mipMpmCand[sizeId][1]:mipMpmCand[sizeId][2]  (8-17)

-   -   -   Otherwise, the following applies:

candMipModeList[0]=candMipModeA  (8-18)

candMipModeList[1]=candMipModeB  (8-19)

-   -   -   -   If candMipModeA and candMipModeB are both not equal to                 mipMpmCand[sizeId][0], the following applies:

candMipModeList[2]=mipMpmCand[sizeId][0]  (8-20)

-   -   -   -   Otherwise, the following applies:                 -   If candMipModeA and candMipModeB are both not equal                     to mipMpmCand[sizeId][1], the following applies:

candMipModeList[2]=mipMpmCand[sizeId][1]  (8-21)

-   -   -   -   -   Otherwise, the following applies:

candMipModeList[2]=mipMpmCand[sizeId][2]  (8-22)

-   -   8. IntraPredModeY[xCb][yCb] is derived by applying the following         procedure:         -   If intra_mip_mpm_flag[xCb][yCb] is equal to 1,             IntraPredModeY[xCb][yCb] is set equal to             candMipModeList[intra_mip_mpm_idx[xCb][yCb]].         -   Otherwise, IntraPredModeY[xCb][yCb] is derived by applying             the following ordered steps:             -   3. When candMipModeList[i] is greater than                 candMipModeList[j] for i=0..1 and for each i,                 j=(i+1)..2, both values are swapped as follows:

(candMipModeList[i],candMipModeList[j])=Swap(candMipModeList[i],candMipModeList[j])  (8-23)

-   -   -   -   4. IntraPredModeY[xCb][yCb] is derived by the following                 ordered steps:                 -   i. IntraPredModeY[xCb][yCb] is set equal to                     intra_mip_mpm_remainder[xCb][yCb].                 -   ii. For i equal to 0 to 2, inclusive, when                     IntraPredModeY[xCb][yCb] is greater than or equal to                     candMipModeList[i], the value of                     IntraPredModeY[xCb][yCb] is incremented by one.                     The variable IntraPredModeY[x][y] with                     x=xCb..xCb+cbWidth−1 and y=yCb..yCb+cbHeight−1 is                     set to be equal to IntraPredModeY[xCb][yCb].

TABLE 8-1 Specification of mapping between intra prediction and MIP modes IntraPredModeY MipSizeId [ xNbX ][ yNbX ] 0 1 2  0 17  0 5  1 17  0 1 2, 3 17 10 3 4, 5  9 10 3 6, 7  9 10 3 8, 9  9 10 3 10, 11  9 10 0 12, 13 17  4 0 14, 15 17  6 0 16, 17 17  7 4 18, 19 17  7 4 20, 21 17  7 4 22, 23 17  5 5 24, 25 17  5 1 26, 27  5  0 1 28, 29  5  0 1 30, 31  5  3 1 32, 33  5  3 1 34, 35 34 12 6 36, 37 22 12 6 38, 39 22 12 6 40, 41 22 12 6 42, 43 22 14 6 44, 45 34 14 10  46, 47 34 14 10  48, 49 34 16 9 50, 51 34 16 9 52, 53 34 16 9 54, 55 34 15 9 56, 57 34 13 9 58, 59 26  1 8 60, 61 26  1 8 62, 63 26  1 8 64, 65 26  1 8 66 26  1 8

TABLE 8-2 Specification of MIP candidate modes mipMpmCand[ sizeId ][ x ] candidate mode x sizeId 0 1 2 0 17 34  5 1  0  7 16 2  1  4  6

i. Derivation Process for Luma Intra Prediction Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current luma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         In this process, the luma intra prediction mode         IntraPredModeY[xCb][yCb] is derived.         Table 8-3 specifies the value for the intra prediction mode         IntraPredModeY[xCb][yCb] and the associated names.

TABLE 8-3 Specification of intra prediction mode and associated names Intra prediction mode Associated name  0 INTRA_PLANAR  1 INTRA_DC  2 . . . 66 INTRA_ANGULAR2 . . . INTRA_ANGULAR66 81 . . . 83 INTRA_LT_CCLM, INTRA_L_CCLM, INTRA_T_CCLM NOTE-: The intra prediction modes INTRA_LT_CCLM, INTRA_L_CCLM and INTRA_T_CCLM are only applicable to chroma components. IntraPredModeY[xCb][yCb] is derived as follows:

-   -   If BdpcmFlag[xCb][yCb] is equal to 1 or         intra_luma_not_planar_flag[xCb][yCb] is equal to 0,         IntraPredModeY[xCb][yCb] is set equal to INTRA_PLANAR.     -   Otherwise (intra_luma_not_planar_flag[xCb][yCb] is equal to 1),         the following ordered steps apply:     -   9. The neighbouring locations (xNbA, yNbA) and (xNbB, yNbB) are         set equal to (xCb−1, yCb+cbHeight−1) and (xCb+cbWidth−1, yCb−1),         respectively.     -   10. For X being replaced by either A or B, the variables         candIntraPredModeX are derived as follows:         -   The availability derivation process for a block as specified             in clause 6.4.X [Ed. (BB): Neighbouring blocks availability             checking process tbd] is invoked with the location (xCurr,             yCurr) set equal to (xCb, yCb) and the neighbouring location             (xNbY, yNbY) set equal to (xNbX, yNbX) as inputs, and the             output is assigned to availableX.         -   The candidate intra prediction mode candIntraPredModeX is             derived as follows:             -   If one or more of the following conditions are true,                 candIntraPredModeX is set equal to INTRA_PLANAR.                 -   The variable availableX is equal to FALSE.                 -   CuPredMode[xNbX][yNbX] is not equal to MODE_INTRA                     and ciip_flag[xNbX][yNbX] is not equal to 1.                 -   pcm_flag[xNbX][yNbX] is equal to 1.                 -   X is equal to B and yCb−1 is less than ((yCb>>CtbLog                     2SizeY)<<<CtbLog 2SizeY).             -    intra_mip_flag[xCb][yCb] is equal to 1             -   Otherwise, candIntraPredModeX is derived as follows:                 -   If intra_mip_flag[xCb][yCb] is equal to 1,                     candIntraPredModeX is derived using                     IntraPredModeY[xNbX][yNbX] and MipSizeld[xCb][yCb]                     as specified in Table 8-4.                 -   Otherwise, candIntraPredModeX is set equal to                     IntraPredModeY[xNbX][yNbX].     -   11. The candModeList[x] with x=0..4 is derived as follows:         -   If candIntraPredModeB is equal to candIntraPredModeA and             candIntraPredModeA is greater than INTRA_DC, candModeList[x]             with x=0..4 is derived as follows:

candModeList[0]=candIntraPredModeA  (8-24)

candModeList[1]=2+((candIntraPredModeA+61) % 64)  (8-25)

candModeList[2]=2+((candIntraPredModeA−1) % 64)  (8-26)

candModeList[3]=INTRA_DC  (8-27)

candModeList[4]=2+((candIntraPredModeA+60) % 64)  (8-28)

-   -   -   Otherwise if candIntraPredModeB is not equal to             candIntraPredModeA and candIntraPredModeA or             candIntraPredModeB is greater than INTRA_DC, the following             applies:             -   The variables minAB and maxAB are derived as follows:

minAB=Min(candIntraPredModeA,candIntraPredModeB)  (8-29)

maxAB=Max(candIntraPredModeA,candIntraPredModeB)  (8-30)

-   -   -   -   If candIntraPredModeA and candIntraPredModeB are both                 greater than INTRA_DC, candModeList[x] with x=0..4 is                 derived as follows:

candModeList[0]=candIntraPredModeA  (8-31)

candModeList[1]=candIntraPredModeB  (8-32)

candModeList[2]=INTRA_DC  (8-33)

-   -   -   -   -   If maxAB−minAB is in the range of 2 to 62,                     inclusive, the following applies:

candModeList[3]=2+((maxAB+61) % 64)  (8-34)

candModeList[4]=2+((maxAB−1) % 64)  (8-35)

-   -   -   -   -   Otherwise, the following applies:

candModeList[3]=2+((maxAB+60) % 64)  (8-36)

candModeList[4]=2+((maxAB) % 64)  (8-37)

-   -   -   -   Otherwise (candIntraPredModeA or candIntraPredModeB is                 greater than INTRA_DC), candModeList[x] with x=0..4 is                 derived as follows:

candModeList[0]=maxAB  (8-38)

candModeList[1]=INTRA_DC  (8-39)

candModeList[2]=2+((maxAB+61) % 64)  (8-40)

candModeList[3]=2+((maxAB−1) % 64)  (8-41)

candModeList[4]=2+((maxAB+60) % 64)  (8-42)

-   -   -   Otherwise, the following applies:

candModeList[0]=INTRA_DC  (8-43)

candModeList[1]=INTRA_ANGULAR50  (8-44)

candModeList[2]=INTRA_ANGULAR18  (8-45)

candModeList[3]=INTRA_ANGULAR46  (8-46)

candModeList[4]=INTRA_ANGULAR54  (8-47)

-   -   12. IntraPredModeY[xCb][yCb] is derived by applying the         following procedure:         -   If intra_luma_mpm_flag[xCb][yCb] is equal to 1, the             IntraPredModeY[xCb][yCb] is set equal to             candModeList[intra_luma_mpm_idx[xCb][yCb] ].         -   Otherwise, IntraPredModeY[xCb][yCb] is derived by applying             the following ordered steps:             -   5. When candModeList[i] is greater than candModeList[j]                 for i=0..3 and for each j=(i+1)..4, both values are                 swapped as follows:

(candModeList[i],candModeList[j])=Swap(candModeList[i], candModeList[j])  (8-48)

-   -   -   -   6. IntraPredModeY[xCb][yCb] is derived by the following                 ordered steps:                 -   i. IntraPredModeY[xCb][yCb] is set equal to                     intra_luma_mpm_remainder[xCb][yCb].                 -   ii. The value of IntraPredModeY[xCb][yCb] is                     incremented by one.                 -   iii. For i equal to 0 to 4, inclusive, when                     IntraPredModeY[xCb][yCb] is greater than or equal to                     candModeList[i], the value of                     IntraPredModeY[xCb][yCb] is incremented by one.                     The variable IntraPredModeY[x][y] with                     x=xCb..xCb+cbWidth−1 and y=yCb..yCb+cbHeight−1 is                     set to be equal to IntraPredModeY[xCb][yCb].

TABLE 8-4 Specification of mapping between MIP and intra prediction modes IntraPredModeY MipSizeId [ xNbX ][ yNbX ] 0 1 2 0 0 0 1 1 18 1 1 2 18 0 1 3 0 1 1 4 18 0 18 5 0 22 0 6 12 18 1 7 0 18 0 8 18 1 1 9 2 0 50 10 18 1 0 11 12 0 12 18 1 13 18 0 14 1 44 15 18 0 16 18 50 17 0 1 18 0 0 19 50 20 0 21 50 22 0 23 56 24 0 25 50 26 66 27 50 28 56 29 50 30 50 31 1 32 50 33 50 34 50

8.4.4 Derivation Process for Chroma Intra Prediction Mode

Input to this process are:

-   -   a luma location (xCb, yCb) specifying the top-left sample of the         current chroma coding block relative to the top-left luma sample         of the current picture,     -   a variable cbWidth specifying the width of the current coding         block in luma samples,     -   a variable cbHeight specifying the height of the current coding         block in luma samples.         In this process, the chroma intra prediction mode         IntraPredModeC[xCb][yCb] is derived. The corresponding luma         intra prediction mode lumaIntraPredMode is derived as follows:     -   If intra_mip_flag[xCb+cbWidth/2][yCb+cbHeight/2] is equal to 1,         lumaIntraPredMode is set equal to INTRA_PLANAR. derived using         IntraPredModeY[xCb+cbWidth/2][yCb+cbHeight/2] and sizeId as         specified in Table 8-4 and assigning the value of         candIntraPredModeX to lumaIntraPredMode.     -   Otherwise, lumaIntraPredMode is set equal to         IntraPredModeY[xCb+cbWidth/2][yCb+cbHeight/2].         The chroma intra prediction mode IntraPredModeC[xCb][yCb] is         derived using intra_chroma_pred_mode[xCb][yCb] and         lumaIntraPredMode as specified in Table 8-5 and Table 8-6.

The examples described above may be incorporated in the context of the methods described below, e.g., methods 1100 to 1400 and 2300 to 2700, which may be implemented at a video encoder and/or decoder.

FIG. 11 shows a flowchart of an exemplary method for video processing. The method 1100 includes, at step 1110, determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode.

The method 1100 includes, at step 1120, constructing, based on the determining, at least a portion of a most probable mode (MPM) list for the ALWIP mode based on an at least a portion of an MPM list for a non-ALWIP intra mode.

The method 1100 includes, at step 1130, performing, based on the MPM list for the ALWIP mode, a conversion between the current video block and a bitstream representation of the current video block.

In some embodiments, a size of the MPM list of the ALWIP mode is identical to a size of the MPM list for the non-ALWIP intra mode. In an example, the size of the MPM list of the ALWIP mode is 6.

In some embodiments, the method 1100 further comprises the step of inserting default modes to the MPM list for the ALWIP mode. In an example, the default modes are inserted prior to the portion of a MPM list for the ALWIP mode that is based on the MPM list for the non-ALWIP intra mode. In another example, the default modes are inserted subsequent to the portion of a MPM list for the ALWIP mode that is based on the MPM list for the non-ALWIP intra mode. In yet another example, the default modes are inserted in an interleaved manner with the portion of a MPM list for the ALWIP mode that is based on the MPM list for the non-ALWIP intra mode.

In some embodiments, constructing the MPM list for the ALWIP mode and the MPM list for the non-ALWIP intra mode is based on one or more neighboring blocks.

In some embodiments, constructing the MPM list for the ALWIP mode and the MPM list for the non-ALWIP intra mode is based a height or a width of the current video block.

In some embodiments, constructing the MPM list for the ALWIP mode is based on a first set of parameters that is different from a second set of parameters used to construct the MPM list for the non-ALWIP intra mode.

In some embodiments, the method 1100 further includes the step of determining that a neighboring block of the current video block has been coded with the ALWIP mode, and designating, in constructing the MPM list for the non-ALWIP intra mode, the neighboring block as unavailable.

In some embodiments, the method 1100 further includes the step of determining that a neighboring block of the current video block has been coded with the non-ALWIP intra mode, and designating, in constructing the MPM list for the ALWIP mode, the neighboring block as unavailable.

In some embodiments, the non-ALWIP intra mode is based on a normal intra mode, a multiple reference line (MRL) intra prediction mode or an intra sub-partition (ISP) tool.

FIG. 12 shows a flowchart of an exemplary method for video processing. The method 1200 includes, at step 1210, determining that a luma component of a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode.

The method 1200 includes, at step 1220, inferring, based on the determining, a chroma intra mode.

The method 1200 includes, at step 1230, performing, based on the chroma intra mode, a conversion between the current video block and a bitstream representation of the current video block.

In some embodiments, the luma component covers a predetermined chroma sample of the chroma component. In an example, the predetermined chroma sample is a top-left sample or a center sample of the chroma component.

In some embodiments, the inferred chroma intra mode is a DM mode.

In some embodiments, the inferred chroma intra mode is the ALWIP mode.

In some embodiments, the ALWIP mode is applied to one or more chroma components of the current video block.

In some embodiments, different matrix or bias vectors of the ALWIP mode are applied to different color components of the current video block. In an example, the different matrix or bias vectors are predefined jointly for Cb and Cr components. In another example, the Cb and Cr components are concatenated. In yet another example, the Cb and Cr components are interleaved.

FIG. 13 shows a flowchart of an exemplary method for video processing. The method 1300 includes, at step 1310, determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode.

The method 1300 includes, at step 1320, performing, based on the determining, a conversion between the current video block and a bitstream representation of the current video block.

In some embodiments, the determining is based on signaling in a sequence parameter set (SPS), a picture parameter set (PPS), a slice header, a tile group header, a tile header, a coding tree unit (CTU) row or a CTU region.

In some embodiments, the determining is based on a height (H) or a width (W) of the current video block. In an example, W>T1 or H>T2. In another example, W≥T1 or H≥T2. In yet another example, W<T1 or H<T2. In yet another example, W≤T1 or H≤T2. In yet another example, T1=32 and T2=32.

In some embodiments, the determining is based on a height (H) or a width (W) of the current video block. In an example, W+H≤T. In another example, W+H≥T. In yet another example, W×H≤T. In yet another example, W×H≥T. In yet another example, T=256.

FIG. 14 shows a flowchart of an exemplary method for video processing. The method 1400 includes, at step 1410, determining that a current video block is coded using a coding mode different from an affine linear weighted intra prediction (ALWIP) mode.

The method 1400 includes, at step 1420, performing, based on the determining, a conversion between the current video block and a bitstream representation of the current video block.

In some embodiments, the coding mode is a combined intra and inter prediction (CIIP) mode, and method 1400 further includes the step of performing a selection between the ALWIP mode and a normal intra prediction mode. In an example, performing the selection is based on an explicit signaling in the bitstream representation of the current video block. In another example, performing the selection is based on predetermined rule. In yet another example, the predetermined rule always selects the ALWIP mode when the current video block is coded using the CIIP mode. In yet another example, the predetermined rule always selects the normal intra prediction mode when the current video block is coded using the CIIP mode.

In some embodiments, the coding mode is a cross-component linear model (CCLM) prediction mode. In an example, a downsampling procedure for the ALWIP mode is based on a downsampling procedure for the CCLM prediction mode. In another example, the downsampling procedure for the ALWIP mode is based on a first set of parameters, and wherein the downsampling procedure for the CCLM prediction mode is based on a second set of parameters different from the first set of parameters. In yet another example, the downsampling procedure for the ALWIP mode or the CCLM prediction mode comprises at least one of a selection of downsampled positions, a selection of downsampling filters, a rounding operation or a clipping operation.

In some embodiments, the method 1400 further includes the step of applying one or more of a Reduced Secondary Transform (RST), a secondary transform, a rotation transform or a Non-Separable Secondary Transform (NSST).

In some embodiments, the method 1400 further includes the step of applying block-based differential pulse coded modulation (DPCM) or residual DPCM.

In some embodiments, a video processing method includes determining, based on a rule for a current video block, a context of a flag indicative of use of affine linear weighted intra prediction (ALWIP) mode during a conversion between the current video block and a bitstream representation of the current video block, predicting, based on the ALWIP mode, a plurality of sub-blocks of the current video block and performing, based on the predicting, the conversion between the current video block and a bitstream representation of the current video block. The rule may be specified implicitly using an a priori technique or may be signaled in the coded bitstream. Other examples and aspects of this method are further described in items 37 and 38 in Section 4.

In some embodiments, a method for video processing includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, and performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein a first precision of the samples in a first filtering stage of the at least two filtering stages is different from a second precision of the samples in a second filtering stage of the at least two filtering stages.

In an example, the samples of the current video block are prediction samples, intermedium samples before the upsampling process or intermedium samples after the upsampling process. In another example, the samples are upsampled in a first dimension horizontally in the first filtering stage, and wherein the samples are upsampled in a second dimension vertically in the second filtering stage. In yet another example, the samples are upsampled in a first dimension vertically in the first filtering stage, and wherein the samples are upsampled in a second dimension horizontally in the second filtering stage.

In an example, an output of the first filtering stage is right-shifted or divided to generate a processed output, and wherein the processed output is an input to the second filtering stage. In another example, an output of the first filtering stage is left-shifted or multiplied to generate a processed output, and wherein the processed output is an input to the second filtering stage. Other examples and aspects of this method are further described in item 40 in Section 4.

As further described in items 41 to 43 in section 4, a video processing method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein the upsampling process is performed in a fixed order for a case in which both vertical and horizontal upsampling is performed. As further described in items 41 to 43 in section 4, another method includes determining that a current video block is coded using an affine linear weighted intra prediction (ALWIP) mode, performing, during a conversion between the current video block and a bitstream representation of the current video block, at least two filtering stages on samples of the current video block in an upsampling process associated with the ALWIP mode, wherein the conversion includes performing a transposing operation prior to the upsampling process

Additional features of the above-described methods are described in items 41 to 43 in Section 4.

6 Example Implementations of the Disclosed Technology

FIG. 15 is a block diagram of a video processing apparatus 1500. The apparatus 1500 may be used to implement one or more of the methods described herein. The apparatus 1500 may be embodied in a smartphone, tablet, computer, Internet of Things (IoT) receiver, and so on. The apparatus 1500 may include one or more processors 1502, one or more memories 1504 and video processing hardware 1506. The processor(s) 1502 may be configured to implement one or more methods (including, but not limited to, methods 1100 to 1400 and 2300 to 2700) described in the present disclosure. The memory (memories) 1504 may be used for storing data and code used for implementing the methods and techniques described herein. The video processing hardware 1506 may be used to implement, in hardware circuitry, some techniques described in the present disclosure.

In some embodiments, the video coding methods may be implemented using an apparatus that is implemented on a hardware platform as described with respect to FIG. 15 .

Some embodiments of the disclosed technology include making a decision or determination to enable a video processing tool or mode. In an example, when the video processing tool or mode is enabled, the encoder will use or implement the tool or mode in the processing of a block of video, but may not necessarily modify the resulting bitstream based on the usage of the tool or mode. That is, a conversion from the block of video to the bitstream representation of the video will use the video processing tool or mode when it is enabled based on the decision or determination. In another example, when the video processing tool or mode is enabled, the decoder will process the bitstream with the knowledge that the bitstream has been modified based on the video processing tool or mode. That is, a conversion from the bitstream representation of the video to the block of video will be performed using the video processing tool or mode that was enabled based on the decision or determination.

Some embodiments of the disclosed technology include making a decision or determination to disable a video processing tool or mode. In an example, when the video processing tool or mode is disabled, the encoder will not use the tool or mode in the conversion of the block of video to the bitstream representation of the video. In another example, when the video processing tool or mode is disabled, the decoder will process the bitstream with the knowledge that the bitstream has not been modified using the video processing tool or mode that was disabled based on the decision or determination.

FIG. 21 is a block diagram that illustrates an example video coding system 100 that may utilize the techniques of this disclosure. As shown in FIG. 21 , video coding system 100 may include a source device 110 and a destination device 120. Source device 110 generates encoded video data which may be referred to as a video encoding device. Destination device 120 may decode the encoded video data generated by source device 110 which may be referred to as a video decoding device. Source device 110 may include a video source 112, a video encoder 114, and an input/output (I/O) interface 116.

Video source 112 may include a source such as a video capture device, an interface to receive video data from a video content provider, and/or a computer graphics system for generating video data, or a combination of such sources. The video data may comprise one or more pictures. Video encoder 114 encodes the video data from video source 112 to generate a bitstream. The bitstream may include a sequence of bits that form a coded representation of the video data. The bitstream may include coded pictures and associated data. The coded picture is a coded representation of a picture. The associated data may include sequence parameter sets, picture parameter sets, and other syntax structures. I/O interface 116 may include a modulator/demodulator (modem) and/or a transmitter. The encoded video data may be transmitted directly to destination device 120 via I/O interface 116 through network 130 a. The encoded video data may also be stored onto a storage medium/server 130 b for access by destination device 120.

Destination device 120 may include an I/O interface 126, a video decoder 124, and a display device 122.

I/O interface 126 may include a receiver and/or a modem. I/O interface 126 may acquire encoded video data from the source device 110 or the storage medium/server 130 b. Video decoder 124 may decode the encoded video data. Display device 122 may display the decoded video data to a user. Display device 122 may be integrated with the destination device 120, or may be external to destination device 120 which be configured to interface with an external display device.

Video encoder 114 and video decoder 124 may operate according to a video compression standard, such as the High Efficiency Video Coding (HEVC) standard, Versatile Video Coding (VVC) standard and other current and/or further standards.

FIG. 22 is a block diagram illustrating an example of video encoder 200, which may be video encoder 114 in the system 100 illustrated in FIG. 21 .

Video encoder 200 may be configured to perform any or all of the techniques of this disclosure. In the example of FIG. 22 , video encoder 200 includes a plurality of functional components. The techniques described in this disclosure may be shared among the various components of video encoder 200. In some examples, a processor may be configured to perform any or all of the techniques described in this disclosure.

The functional components of video encoder 200 may include a partition unit 201, a prediction unit 202 which may include a mode select unit 203, a motion estimation unit 204, a motion compensation unit 205 and an intra prediction unit 206, a residual generation unit 207, a transform unit 208, a quantization unit 209, an inverse quantization unit 210, an inverse transform unit 211, a reconstruction unit 212, a buffer 213, and an entropy encoding unit 214.

In other examples, video encoder 200 may include more, fewer, or different functional components. In an example, prediction unit 202 may include an intra block copy (IBC) unit. The IBC unit may perform prediction in an IBC mode in which at least one reference picture is a picture where the current video block is located.

Furthermore, some components, such as motion estimation unit 204 and motion compensation unit 205 may be highly integrated, but are represented in the example of FIG. 22 separately for purposes of explanation.

Partition unit 201 may partition a picture into one or more video blocks. Video encoder 200 and video decoder 300 may support various video block sizes.

Mode select unit 203 may select one of the coding modes, intra or inter, e.g., based on error results, and provide the resulting intra- or inter-coded block to a residual generation unit 207 to generate residual block data and to a reconstruction unit 212 to reconstruct the encoded block for use as a reference picture. In some example, Mode select unit 203 may select a combination of intra and inter prediction (CIIP) mode in which the prediction is based on an inter prediction signal and an intra prediction signal. Mode select unit 203 may also select a resolution for a motion vector (e.g., a sub-pixel or integer pixel precision) for the block in the case of inter-prediction.

To perform inter prediction on a current video block, motion estimation unit 204 may generate motion information for the current video block by comparing one or more reference frames from buffer 213 to the current video block. Motion compensation unit 205 may determine a predicted video block for the current video block based on the motion information and decoded samples of pictures from buffer 213 other than the picture associated with the current video block.

Motion estimation unit 204 and motion compensation unit 205 may perform different operations for a current video block, for example, depending on whether the current video block is in an I slice, a P slice, or a B slice.

In some examples, motion estimation unit 204 may perform uni-directional prediction for the current video block, and motion estimation unit 204 may search reference pictures of list 0 or list 1 for a reference video block for the current video block. Motion estimation unit 204 may then generate a reference index that indicates the reference picture in list 0 or list 1 that contains the reference video block and a motion vector that indicates a spatial displacement between the current video block and the reference video block. Motion estimation unit 204 may output the reference index, a prediction direction indicator, and the motion vector as the motion information of the current video block. Motion compensation unit 205 may generate the predicted video block of the current block based on the reference video block indicated by the motion information of the current video block.

In other examples, motion estimation unit 204 may perform bi-directional prediction for the current video block, motion estimation unit 204 may search the reference pictures in list 0 for a reference video block for the current video block and may also search the reference pictures in list 1 for another reference video block for the current video block. Motion estimation unit 204 may then generate reference indexes that indicate the reference pictures in list 0 and list 1 containing the reference video blocks and motion vectors that indicate spatial displacements between the reference video blocks and the current video block. Motion estimation unit 204 may output the reference indexes and the motion vectors of the current video block as the motion information of the current video block. Motion compensation unit 205 may generate the predicted video block of the current video block based on the reference video blocks indicated by the motion information of the current video block.

In some examples, motion estimation unit 204 may output a full set of motion information for decoding processing of a decoder.

In some examples, motion estimation unit 204 may do not output a full set of motion information for the current video. Rather, motion estimation unit 204 may signal the motion information of the current video block with reference to the motion information of another video block. For example, motion estimation unit 204 may determine that the motion information of the current video block is sufficiently similar to the motion information of a neighboring video block.

In one example, motion estimation unit 204 may indicate, in a syntax structure associated with the current video block, a value that indicates to the video decoder 300 that the current video block has the same motion information as the another video block.

In another example, motion estimation unit 204 may identify, in a syntax structure associated with the current video block, another video block and a motion vector difference (MVD). The motion vector difference indicates a difference between the motion vector of the current video block and the motion vector of the indicated video block. The video decoder 300 may use the motion vector of the indicated video block and the motion vector difference to determine the motion vector of the current video block.

As discussed above, video encoder 200 may predictively signal the motion vector. Two examples of predictive signaling techniques that may be implemented by video encoder 200 include advanced motion vector prediction (AMVP) and merge mode signaling.

Intra prediction unit 206 may perform intra prediction on the current video block. When intra prediction unit 206 performs intra prediction on the current video block, intra prediction unit 206 may generate prediction data for the current video block based on decoded samples of other video blocks in the same picture. The prediction data for the current video block may include a predicted video block and various syntax elements.

Residual generation unit 207 may generate residual data for the current video block by subtracting (e.g., indicated by the minus sign) the predicted video block(s) of the current video block from the current video block. The residual data of the current video block may include residual video blocks that correspond to different sample components of the samples in the current video block.

In other examples, there may be no residual data for the current video block for the current video block, for example in a skip mode, and residual generation unit 207 may not perform the subtracting operation.

Transform processing unit 208 may generate one or more transform coefficient video blocks for the current video block by applying one or more transforms to a residual video block associated with the current video block.

After transform processing unit 208 generates a transform coefficient video block associated with the current video block, quantization unit 209 may quantize the transform coefficient video block associated with the current video block based on one or more quantization parameter (QP) values associated with the current video block.

Inverse quantization unit 210 and inverse transform unit 211 may apply inverse quantization and inverse transforms to the transform coefficient video block, respectively, to reconstruct a residual video block from the transform coefficient video block. Reconstruction unit 212 may add the reconstructed residual video block to corresponding samples from one or more predicted video blocks generated by the prediction unit 202 to produce a reconstructed video block associated with the current block for storage in the buffer 213.

After reconstruction unit 212 reconstructs the video block, loop filtering operation may be performed reduce video blocking artifacts in the video block.

Entropy encoding unit 214 may receive data from other functional components of the video encoder 200. When entropy encoding unit 214 receives the data, entropy encoding unit 214 may perform one or more entropy encoding operations to generate entropy encoded data and output a bitstream that includes the entropy encoded data.

FIG. 19 is a block diagram illustrating an example of video decoder 300 which may be video decoder 114 in the system 100 illustrated in FIG. 21 .

The video decoder 300 may be configured to perform any or all of the techniques of this disclosure. In the example of FIG. 19 , the video decoder 300 includes a plurality of functional components. The techniques described in this disclosure may be shared among the various components of the video decoder 300. In some examples, a processor may be configured to perform any or all of the techniques described in this disclosure.

In the example of FIG. 19 , video decoder 300 includes an entropy decoding unit 301, a motion compensation unit 302, an intra prediction unit 303, an inverse quantization unit 304, an inverse transformation unit 305, and a reconstruction unit 306 and a buffer 307. Video decoder 300 may, in some examples, perform a decoding pass generally reciprocal to the encoding pass described with respect to video encoder 200 (FIG. 22 ).

Entropy decoding unit 301 may retrieve an encoded bitstream. The encoded bitstream may include entropy coded video data (e.g., encoded blocks of video data). Entropy decoding unit 301 may decode the entropy coded video data, and from the entropy decoded video data, motion compensation unit 302 may determine motion information including motion vectors, motion vector precision, reference picture list indexes, and other motion information. Motion compensation unit 302 may, for example, determine such information by performing the AMVP and merge mode.

Motion compensation unit 302 may produce motion compensated blocks, possibly performing interpolation based on interpolation filters. Identifiers for interpolation filters to be used with sub-pixel precision may be included in the syntax elements.

Motion compensation unit 302 may use interpolation filters as used by video encoder 20 during encoding of the video block to calculate interpolated values for sub-integer pixels of a reference block. Motion compensation unit 302 may determine the interpolation filters used by video encoder 200 according to received syntax information and use the interpolation filters to produce predictive blocks.

Motion compensation unit 302 may uses some of the syntax information to determine sizes of blocks used to encode frame(s) and/or slice(s) of the encoded video sequence, partition information that describes how each macroblock of a picture of the encoded video sequence is partitioned, modes indicating how each partition is encoded, one or more reference frames (and reference frame lists) for each inter-encoded block, and other information to decode the encoded video sequence.

Intra prediction unit 303 may use intra prediction modes for example received in the bitstream to form a prediction block from spatially adjacent blocks. Inverse quantization unit 303 inverse quantizes, i.e., de-quantizes, the quantized video block coefficients provided in the bitstream and decoded by entropy decoding unit 301. Inverse transform unit 303 applies an inverse transform.

Reconstruction unit 306 may sum the residual blocks with the corresponding prediction blocks generated by motion compensation unit 202 or intra-prediction unit 303 to form decoded blocks. If desired, a deblocking filter may also be applied to filter the decoded blocks in order to remove blockiness artifacts. The decoded video blocks are then stored in buffer 307, which provides reference blocks for subsequent motion compensation/intra prediction and also produces decoded video for presentation on a display device.

In the present disclosure, the term “video processing” may refer to video encoding, video decoding, video compression or video decompression. For example, video compression algorithms may be applied during conversion from pixel representation of a video to a corresponding bitstream representation or vice versa. The bitstream representation, or coded representation, of a current video block may, for example, correspond to bits that are either co-located or spread in different places within the bitstream, as is defined by the syntax. For example, a video block may be encoded in terms of transformed and coded error residual values and also using bits in headers and other fields in the bitstream. Furthermore, during conversion, a decoder may parse a bitstream with the knowledge that some fields may be present, or absent, based on the determination, as is described in the above solutions. Similarly, an encoder may determine that certain syntax fields are or are not to be included and generate the coded representation accordingly by including or excluding the syntax fields from the coded representation.

FIG. 20 is a block diagram showing an example video processing system 2000 in which various techniques disclosed herein may be implemented. Various implementations may include some or all of the components of the system 2000. The system 2000 may include input 2002 for receiving video content. The video content may be received in a raw or uncompressed format, e.g., 8 or 10 bit multi-component pixel values, or may be in a compressed or encoded format. The input 2002 may represent a network interface, a peripheral bus interface, or a storage interface. Examples of network interface include wired interfaces such as Ethernet, passive optical network (PON), etc. and wireless interfaces such as wireless fidelity (Wi-Fi) or cellular interfaces.

The system 2000 may include a coding component 2004 that may implement the various coding or encoding methods described in the present disclosure. The coding component 2004 may reduce the average bitrate of video from the input 2002 to the output of the coding component 2004 to produce a coded representation of the video. The coding techniques are therefore sometimes called video compression or video transcoding techniques. The output of the coding component 2004 may be either stored, or transmitted via a communication connected, as represented by the component 2006. The stored or communicated bitstream (or coded) representation of the video received at the input 2002 may be used by the component 2008 for generating pixel values or displayable video that is sent to a display interface 2010. The process of generating user-viewable video from the bitstream representation is sometimes called video decompression. Furthermore, while certain video processing operations are referred to as “coding” operations or tools, it will be appreciated that the coding tools or operations are used at an encoder and corresponding decoding tools or operations that reverse the results of the coding will be performed by a decoder.

Examples of a peripheral bus interface or a display interface may include universal serial bus (USB) or high definition multimedia interface (HDMI) or Displayport, and so on. Examples of storage interfaces include serial advanced technology attachment (SATA), peripheral component interconnect (PCI), integrated drive electronics (IDE) interface, and the like. The techniques described in the present disclosure may be embodied in various electronic devices such as mobile phones, laptops, smartphones or other devices that are capable of performing digital data processing and/or video display.

In some embodiments, the ALWIP mode or the MIP mode is used to compute a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation (or an averaging operation), followed by a matrix vector multiplication operation, and selectively (or optionally) followed by an upsampling operation (or a linear interpolation operation). In some embodiments, the ALWIP mode or the MIP mode is used to compute a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation (or an averaging operation) and followed by a matrix vector multiplication operation. In some embodiments, the ALWIP mode or the MIP mode can also perform an upsampling operation (or a linear interpolation operation) after performing the matrix vector multiplication operation.

FIG. 23 shows a flowchart of an exemplary method for video processing. The method 2300 includes performing 2302 a first determination whether a luma video block of a video is coded using a matrix based intra prediction (MIP) mode in which a prediction block of the luma video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; performing 2304 a second determination that the luma video block is applicable for determining a chroma intra mode for a current chroma video block of the video, wherein the performing the second determination is based on a top-left sample of the current chroma video block relative to a top-left luma sample of a current picture associated with the current chroma video block, and wherein the performing the second determination is based on dimensions of the current chroma video block relative to the luma video block and/or color format of a current video unit; performing 2306, based on the first determination and the second determination, a third determination about the chroma intra mode to be used for the current chroma video block; and performing 2308, based on the third determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

In some embodiments for method 2300, the chroma intra mode includes a direct mode or a derived mode. In some embodiments for method 2300, the top-left sample of the current chroma video block is located within the luma video block, and a first width of the current chroma video block and a first height of the current chroma video block are respectively less than or equal to a second width of the luma video block and a second height of the luma video block. In some embodiments for method 2300, the top-left sample of the current chroma video block relative to the top-left luma sample of the current picture is (xCb, yCb), a prediction mode of a position denoted by (xCb+offsetX, yCb+offsetY) located within the luma video block is applicable for determining the chroma intra mode for the current chroma video block, the offsetX is an offset in a horizontal direction, and the offsetY is an offset in a vertical direction. In some embodiments for method 2300, both the offsetX and the offsetY being equal to zero is disallowed. In some embodiments for method 2300, the offsetX is equal to a width of the current chroma video block divided by 2. In some embodiments for method 2300, the offsetX is equal to a width of the luma video block divided by 2. In some embodiments for method 2300, the offsetX is equal to 1 subtracted from a result of a width of the current chroma video block divided by 2.

In some embodiments for method 2300, the offsetX is equal to 1 added to result of a width of the current chroma video block divided by 2. In some embodiments for method 2300, the offsetY is equal to a height of the current chroma video block divided by 2. In some embodiments for method 2300, the offsetY is equal to a height of the luma video block divided by 2. In some embodiments for method 2300, the offsetY is equal to 1 subtracted from a result of a height of the current chroma video block divided by 2. In some embodiments for method 2300, the offsetY is equal to 1 added to result of a height of the current chroma video block divided by 2.

FIG. 24 shows a flowchart of an exemplary method for video processing. The method 2400 includes performing 2402 a first determination that a luma video block of a video is coded using a matrix based intra prediction (MIP) mode in which a prediction block of the luma video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; performing 2404, based on the first determination, a second determination according to a rule about whether a derived mode (DM) is used as a chroma intra mode for a current chroma video block associated with the luma video block; and performing 2406, based on the second determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

In some embodiments for method 2400, the rule specifies that the DM is used as the chroma intra mode in response to the luma video block being coded using the MIP mode. In some embodiments for method 2400, a signaling of the chroma intra mode in the bitstream representation is skipped. In some embodiments for method 2400, the performing the conversion includes a signaling for the DM for the current chroma video block in the bitstream representation, and the rule specifies that a pre-defined intra prediction mode is applied to the current chroma video block. In some embodiments for method 2400, the pre-defined intra prediction mode is a Planar mode. In some embodiments for method 2400, the pre-defined intra prediction mode is based on coded information associated with a screen content. In some embodiments for method 2400, the pre-defined intra prediction mode is a Planar mode in response to the coded information indicating that the screen content is a camera captured screen content.

In some embodiments for method 2400, the pre-defined intra prediction mode is a horizontal prediction mode in response to the coded information indicating that the screen content is a non-camera captured content. In some embodiments for method 2400, the rule specifies that the DM is not used as the chroma intra mode in response to the luma video block being coded using the MIP mode. In some embodiments for method 2400, the DM is not signaled in the bitstream representation. In some embodiments for method 2400, four chroma modes are allowed for the chroma intra mode and are signaled in the bitstream representation for the current chroma video block in response to the luma video block being coded using the MIP mode and in response to a flag indicating that a cross-component linear model prediction (CCLM) is not enabled for the current chroma video block. In some embodiments for method 2400, at most two bits are used for signaling the chroma intra mode in the bitstream representation. In some embodiments for method 2400, seven chroma modes are allowed for the chroma intra mode and are signaled in the bitstream representation for the current chroma video block in response to the luma video block being coded using the MIP mode and in response to a flag indicating that a cross-component linear model prediction (CCLM) is enabled for the current chroma video block. In some embodiments for method 2400, at most four bits are used for signaling the chroma intra mode in the bitstream representation.

FIG. 25 shows a flowchart of an exemplary method for video processing. The method 2500 includes determining 2502 that a current video block of a video is coded with a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; generating 2504, based on the determining, a most probable mode (MPM) list based on a rule, wherein the rule specifies the MPM list is generated independently of another MPM list generated for a neighboring video block of the current video block; and performing 2506 a conversion between the current video block and a bitstream representation of the current video block using the MPM list.

In some embodiments for method 2500, the MPM list includes pre-defined most probable modes. In some embodiments for method 2500, the pre-defined most probable modes include {M0, M1, M2} irrespective of dimensions of the current video block. In some embodiments for method 2500, the pre-defined most probable modes are based on dimensions of the current video block. In some embodiments for method 2500, the pre-defined most probable modes are based on an identifier that indicates a block size type of the current video block. In some embodiments for method 2500, the identifier indicating the block size type is a non-negative value. In some embodiments for method 2500, the identifier includes 0, 1, or 2. In some embodiments for method 2500, the pre-defined most probable modes are {17, 34, 5} in response to the identifier of the block size type being equal to a certain value. In some embodiments for method 2500, the certain value is 0. In some embodiments for method 2500, the pre-defined most probable modes are {0, 7, 16} in response to the identifier of the block size type being equal to a certain value. In some embodiments for method 2500, the certain value is 1. In some embodiments for method 2500, the pre-defined most probable modes are {1, 4, 6} in response to the identifier of the block size type being equal to a certain value. In some embodiments for method 2500, the certain value is 2.

FIG. 26 shows a flowchart of an exemplary method for video processing. The method 2600 includes encoding 2602 a current video block of a video using a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, wherein a rule describes a relationship between a number of matrices used in the MIP mode and dimensions of the current video block; and adding 2604 an encoded representation of the current video block to a bitstream representation of the current video block.

FIG. 27 shows a flowchart of an exemplary method for video processing. The method 2700 includes determining 2702 that a current video block of a video is encoded in a bitstream representation using a matrix based intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, wherein a rule describes a relationship between a number of matrices used in the MIP mode and dimensions of the current video block; and generating 2704 a decoded representation of the current video block by parsing and decoding the bitstream representation.

In some embodiments for method(s) 2600 and/or 2700, the rule specifies that the number of matrices is not based on the dimensions of the current video block, the number of matrices is previously stored, and the number of matrices is 11, 19, or 35. In some embodiments for method(s) 2600 and/or 2700, the rule specifies that the number of matrices is not based on the dimensions of the current video block, a signaling for the MIP mode is included in the bitstream representation for the current video block, and the signaling for the MIP mode is not dependent on the dimensions of the current video block. In some embodiments for method(s) 2600 and/or 2700, the rule specifies that the number of matrices is based on the dimensions of the current video block.

In some embodiments for any of the methods described in the present disclosure, the performing of the conversion includes an encoding operation in which the bitstream representation is generated from the current video block. In some embodiments for any of the methods described in the present disclosure, the performing of the conversion includes a decoding operation in which the current video block is generated from the bitstream representation.

From the foregoing, it will be appreciated that specific embodiments of the presently disclosed technology have been described herein for purposes of illustration, but that various modifications may be made without deviating from the scope of the invention. Accordingly, the presently disclosed technology is not limited except as by the appended claims.

Implementations of the subject matter and the functional operations described in the present disclosure can be implemented in various systems, digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them. Implementations of the subject matter described in this specification can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a tangible and non-transitory computer readable medium for execution by, or to control the operation of, data processing apparatus. The computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more of them. The term “data processing unit” or “data processing apparatus” encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers. The apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them.

A computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.

The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC).

Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such devices. Computer readable media suitable for storing computer program instructions and data include all forms of nonvolatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), and flash memory devices. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

It is intended that the specification, together with the drawings, be considered exemplary only, where exemplary means an example. As used herein, the use of “or” is intended to include “and/or”, unless the context clearly indicates otherwise.

While the present disclosure contains many specifics, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features that may be specific to particular embodiments of particular inventions. Certain features that are described in the present disclosure in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Moreover, the separation of various system components in the embodiments described in the present disclosure should not be understood as requiring such separation in all embodiments.

Only a few implementations and examples are described and other implementations, enhancements and variations can be made based on what is described and illustrated in the present disclosure. 

1. A method for video processing, comprising: determining, for a conversion between a chroma block of a video and a bitstream of the video, whether to apply a first prediction mode on the chroma block based on a group of conditions; generating prediction samples for the chroma block based on the determining; and performing the conversion between the chroma block and the bitstream, wherein in a case where the first prediction mode is applied on the chroma block, a matrix vector multiplication operation is applied, wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, wherein the first prediction mode is applied on a luma block corresponding to the chroma block, wherein an intra mode is applied to a second block of the video which is a neighboring block of the luma block, and a candidate list is constructed to derive a prediction mode for the second block, and wherein when the luma block is added to the candidate list as a candidate, the luma block is treated as having a planar mode.
 2. The method of claim 1, wherein the group of conditions comprise that a prediction mode of a luma block corresponding to the chroma block being the first prediction mode and a color format of the chroma block being a predefined color format.
 3. The method of claim 1, wherein the group of conditions comprises whether a value of a syntax element intra_chroma_pred_mode specifying that a chroma component intra mode is identical to a luma component intra mode, wherein the syntax element intra_chroma_pred_mode is used to specify a mapping relation between the chroma component intra mode and the luma component intra mode.
 4. The method of claim 3, wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, and wherein the group of conditions comprise that the prediction mode of the luma block corresponding to the chroma block being the first prediction mode, a color format of the chroma block being a predefined color format and the value of the syntax element intra_chroma_pred_mode specifying that the chroma component intra mode is identical to the luma component intra mode.
 5. The method of claim 1, wherein the group of conditions further comprise that a tree type of the chroma block being single tree.
 6. The method of claim 1, further comprising: applying a predefined intra prediction mode on the chroma block in response to determining not applying the first prediction mode on the chroma block, the first prediction mode being applied to the corresponding luma block, and a value of a syntax element intra_chroma_pred_mode indicating that a chroma component intra mode is identical to a luma component intra mode.
 7. The method of claim 6, wherein the predefined intra prediction mode is the planar mode.
 8. The method of claim 6, wherein the corresponding luma block covers a position (xCb+offsetX, yCb+offsetY), wherein (xCb, yCb) specifies a top-left sample of the chroma block relative to a top-left luma sample of a current picture that includes the chroma block, wherein offsetX is an offset in a horizontal direction, and wherein offsetY is an offset in a vertical direction.
 9. The method of claim 8, wherein both the offsetX and the offsetY being equal to zero is disallowed.
 10. The method of claim 8, wherein the offsetX is equal to a width of the chroma block divided by 2 and the offsetY is equal to a height of the chroma block divided by
 2. 11. The method of claim 1, wherein inputting samples of the matrix vector multiplication operation are obtained by performing a downsampling operation on boundary reference samples of the chroma block based on a size of the chroma block, and applying the first prediction mode on the chroma block further comprises selectively performing an upsampling operation following the matrix vector multiplication operation to generate the prediction samples for the chroma block.
 12. The method of claim 1, wherein different matrices are used for different dimensions in the matrix vector multiplication operation.
 13. The method of claim 1, wherein the conversion includes encoding the chroma block into the bitstream.
 14. The method of claim 1, wherein the conversion includes decoding the chroma block from the bitstream.
 15. An apparatus for processing video data comprising a processor and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to: determine, for a conversion between a chroma block of a video and a bitstream of the video, whether to apply a first prediction mode on the chroma block based on a group of conditions; generate prediction samples for the chroma block based on the determination; and perform the conversion between the chroma block and the bitstream, wherein in a case where the first prediction mode is applied on the chroma block, a matrix vector multiplication operation is applied, wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, wherein the first prediction mode is applied on a luma block corresponding to the chroma block, wherein an intra mode is applied to a second block of the video which is a neighboring block of the luma block, and a candidate list is constructed to derive a prediction mode for the second block, and wherein when the luma block is added to the candidate list as a candidate, the luma block is treated as having a planar mode.
 16. The apparatus of claim 15, wherein the group of conditions comprise that a prediction mode of a luma block corresponding to the chroma block being the first prediction mode and a color format of the chroma block being a predefined color format
 17. The apparatus of claim 15, wherein the group of conditions comprises whether a value of a syntax element intra_chroma_pred_mode specifying that a chroma component intra mode is identical to a luma component intra mode, wherein the syntax element intra_chroma_pred_mode is used to specify a mapping relation between the chroma component intra mode and the luma component intra mode, and wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, and wherein the group of conditions comprise that the prediction mode of the luma block corresponding to the chroma block being the first prediction mode, a color format of the chroma block being a predefined color format and the value of the syntax element intra_chroma_pred_mode specifying that the chroma component intra mode is identical to the luma component intra mode.
 18. The apparatus of claim 15, further cause the processor to: apply a predefined intra prediction mode on the chroma block in response to determining not applying the first prediction mode on the chroma block, the first prediction mode being applied to the corresponding luma block, and a value of a syntax element intra_chroma_pred_mode indicating that a chroma component intra mode is identical to a luma component intra mode, wherein the corresponding luma block covers a position (xCb+offsetX, yCb+offsetY), wherein (xCb, yCb) specifies a top-left sample of the chroma block relative to a top-left luma sample of a current picture that includes the chroma block, wherein offsetX is an offset in a horizontal direction and is equal to a width of the chroma block divided by 2, and wherein offsetY is an offset in a vertical direction and is equal to a height of the chroma block divided by
 2. 19. A non-transitory computer-readable storage medium storing instructions that cause a processor to: determine, for a conversion between a chroma block of a video and a bitstream of the video, whether to apply a first prediction mode on the chroma block based on a group of conditions; generate prediction samples for the chroma block based on the determination; and perform the conversion between the chroma block and the bitstream, wherein in a case where the first prediction mode is applied on the chroma block, a matrix vector multiplication operation is applied, wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, wherein the first prediction mode is applied on a luma block corresponding to the chroma block, wherein an intra mode is applied to a second block of the video which is a neighboring block of the luma block, and a candidate list is constructed to derive a prediction mode for the second block, and wherein when the luma block is added to the candidate list as a candidate, the luma block is treated as having a planar mode.
 20. A non-transitory computer-readable recording medium storing a bitstream of a video which is generated by a method performed by a video processing apparatus, wherein the method comprises: determining whether to apply a first prediction mode on a chroma block of the video based on a group of conditions; generating prediction samples for the chroma block based on the determining; and generating the bitstream based on the prediction samples, wherein in a case where the first prediction mode is applied on the chroma block, a matrix vector multiplication operation is applied, wherein the first prediction mode is applied on the chroma block in response to the group of conditions being satisfied, wherein the first prediction mode is applied on a luma block corresponding to the chroma block, wherein an intra mode is applied to a second block of the video which is a neighboring block of the luma block, and a candidate list is constructed to derive a prediction mode for the second block, and wherein when the luma block is added to the candidate list as a candidate, the luma block is treated as having a planar mode. 